CA2445044A1 - Method and apparatus for correcting crosstalk and spatial resolution for multichannel imaging - Google Patents
Method and apparatus for correcting crosstalk and spatial resolution for multichannel imaging Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract 55
- 238000003384 imaging method Methods 0.000 title claims abstract 27
- 238000012937 correction Methods 0.000 claims abstract 17
- 230000003595 spectral effect Effects 0.000 claims 14
- 230000006870 function Effects 0.000 claims 6
- 230000004044 response Effects 0.000 claims 5
- 239000013068 control sample Substances 0.000 claims 4
- 239000011159 matrix material Substances 0.000 claims 3
- 239000000523 sample Substances 0.000 claims 3
- 238000000354 decomposition reaction Methods 0.000 claims 2
- 230000010354 integration Effects 0.000 claims 2
- 238000004519 manufacturing process Methods 0.000 claims 2
- 238000001228 spectrum Methods 0.000 claims 2
- 239000011324 bead Substances 0.000 claims 1
- 239000012472 biological sample Substances 0.000 claims 1
- 230000003750 conditioning effect Effects 0.000 claims 1
- 230000001186 cumulative effect Effects 0.000 claims 1
- 230000035945 sensitivity Effects 0.000 claims 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
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- G—PHYSICS
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2803—Investigating the spectrum using photoelectric array detector
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/30—Measuring the intensity of spectral lines directly on the spectrum itself
- G01J3/32—Investigating bands of a spectrum in sequence by a single detector
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/30—Measuring the intensity of spectral lines directly on the spectrum itself
- G01J3/36—Investigating two or more bands of a spectrum by separate detectors
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- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/32—Determination of transform parameters for the alignment of images, i.e. image registration using correlation-based methods
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- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
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- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
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Abstract
A multichannel imaging system generates an ensemble of images for each field of view of an object (401). Each image in the ensemble is intended to contai n information from only one source among a plurality of sources for the object . However, due to crosstalk, at least a portion of the signal from a first source appears in a channel intended for a second source (404). Because the accuracy of the correction will be degraded if the images in an ensemble are spatially misaligned with respect to one another, the spatial offset between images is determined (408) and a correction is applied to substantially eliminate the offset. Then, a correction to the signals is determined to substantially reduce the contributions to the signal in a channel from the signals in other channels. The signal processing can be employed to process the output signals for each of a plurality of different disclosed imaging systems (409).
Claims (72)
1. A method for processing signals from different channels in a multi-channel digital imaging system, said signals comprising image signal data, comprising steps of:
(a) determining spatial alignment offsets for the image signal data;
(b) aligning the image signal data by applying the spatial alignment offsets to the image signal data, to produce aligned image signal data;
(c) determining spectral crosstalk reduction coefficients; and (d) applying the spectral crosstalk coefficients to the aligned image signal data, for spectral correction thereof.
(a) determining spatial alignment offsets for the image signal data;
(b) aligning the image signal data by applying the spatial alignment offsets to the image signal data, to produce aligned image signal data;
(c) determining spectral crosstalk reduction coefficients; and (d) applying the spectral crosstalk coefficients to the aligned image signal data, for spectral correction thereof.
2. The method of Claim 1, wherein the step of determining spatial alignment offsets comprises the step of determining spatial alignment offsets to within sub-pixel resolution, and wherein the step of aligning the image signal data comprises the step of aligning the image signal data by applying the sub-pixel spatial alignment offsets to the image signal data.
3. The method of Claim 1, wherein the step of determining spatial alignment offsets is performed before sample data are captured by the multi-channel digital imaging system.
4. The method of Claim 1, wherein the step of determining spatial alignment offsets is performed concurrently with the step of capturing sample data with the multi-channel digital imaging system.
5. The method of Claim 1, wherein the step of determining spatial alignment offsets comprises the steps of:
(a) selecting a first one of said different channels as a reference channel;
(b) selecting a different one of said different channels as a data channel, image signal data in the data channel to be aligned with image signal data in the reference channel;
(c) producing a correlogram by processing image signal data from the reference channel with image signal data from the data channel;
(d) determining a peak of the correlogram; and (e) comparing the peak of correlogram with image signal data in the reference channel to determine the spatial alignment offsets.
(a) selecting a first one of said different channels as a reference channel;
(b) selecting a different one of said different channels as a data channel, image signal data in the data channel to be aligned with image signal data in the reference channel;
(c) producing a correlogram by processing image signal data from the reference channel with image signal data from the data channel;
(d) determining a peak of the correlogram; and (e) comparing the peak of correlogram with image signal data in the reference channel to determine the spatial alignment offsets.
6. The method of Claim 5, wherein the step of producing a correlogram comprises the step of processing image signal data from the reference channel with image signal data from the data channel in the frequency domain.
7. The method of Claim 5, wherein the step of producing a correlogram comprises the step of processing image signal data from the reference channel with image signal data from the data channel in thespatial domain.
8. The method of Claim 5, wherein the step of producing a correlogram comprises the step of processing a subset of image signal data from the reference channel with a subset of image signal data from the data channel, wherein the possible spatial alignment offsets correspond to the subsets.
9. The method of Claim 5, wherein the step of preparing a correlogram comprises the step of using boundary data corresponding to image signal data the reference channel and image signal data in the data channel.
10. The method of Claim 9, wherein the boundary data are generated using a two dimensional gradient operator.
11. The method of Claim 1, wherein the step of aligning the image signal data comprises the step of convolving the image signal data using an interpolation kernel to enable image signal data to be aligned with sub-pixel resolution.
12. The method of Claim 11, wherein the interpolation kernel is determined using a function approximation of the peak of a correlogram using a Taylor series expansion.
13. The method of Claim 1, wherein the step of determining spectral crosstalk reduction coefficients comprises the step of imaging a control sample, wherein said control sample comprises a source substantially limited to a single one of the different channels.
14. The method of Claim 13, wherein the control sample comprises at least one of a synthesized bead and a biological sample.
15. The method of Claim 1, wherein the step of determining spectral crosstalk reduction coefficients comprises the step of employing a theoretical model of a crosstalk spectrum and a sensitivity of a camera used to capture an image of a sample to a stimulus of a spectrum, in producing the image signal data.
16. The method of Claim 1, wherein the step of determining spectral crosstalk reduction coefficients comprises the step of solving linear equations.
17. The method of Claim 16, wherein the step of solving linear equations comprises the step of utilizing a singular value decomposition.
18. The method of Claim 1, wherein the step of applying the spectral crosstalk coefficients for spectral correction comprises the step of applying a linear equation.
19. A method for reducing crosstalk among a plurality of signals from a plurality of sources, each signal being assigned to a separate channel and primarily containing information corresponding to a different source among the plurality of sources, comprising the steps of:
(a) applying spatial corrections to correct any misalignment of the signals between channels, such that corresponding signals from different sources in the plurality of channels are aligned; and (b) for each channel, substantially reducing erroneous contributions to the signal assigned to the channel from others of the plurality of signals.
(a) applying spatial corrections to correct any misalignment of the signals between channels, such that corresponding signals from different sources in the plurality of channels are aligned; and (b) for each channel, substantially reducing erroneous contributions to the signal assigned to the channel from others of the plurality of signals.
20. The method of Claim 19, wherein the step of applying spatial corrections to correct any misalignment of the signals between channels comprises the step of applying spatial corrections at a sub-pixel resolution.
21. A method for correcting errors in a multichannel signal, the multichannel signal comprising an ensemble of related signals used to produce images for different channels, wherein each signal is associated with a different channel and is intended to provide information from only one source, comprising the steps of:
(a) aligning the signals in the ensemble relative to each other, such that when images produced from the signals are displayed, each image produced from a signal in the ensemble is substantially aligned with images produced from other signals in the ensemble;
(b) determining spectral crosstalk corrections suitable for correcting channel-to-channel crosstalk between signals of the ensemble; and (c) applying the spectral crosstalk corrections to the signals associated with the different channels, to correct for the channel-to-channel crosstalk between the signals.
(a) aligning the signals in the ensemble relative to each other, such that when images produced from the signals are displayed, each image produced from a signal in the ensemble is substantially aligned with images produced from other signals in the ensemble;
(b) determining spectral crosstalk corrections suitable for correcting channel-to-channel crosstalk between signals of the ensemble; and (c) applying the spectral crosstalk corrections to the signals associated with the different channels, to correct for the channel-to-channel crosstalk between the signals.
22. The method of Claim 21, wherein the step of aligning comprises the step of applying:
(a) horizontal and vertical spatial offsets derived from a calibration signal; and (b) constants that are accessed during the step of aligning, but which are not modified.
(a) horizontal and vertical spatial offsets derived from a calibration signal; and (b) constants that are accessed during the step of aligning, but which are not modified.
23. The method of Claim 21, wherein the step of aligning comprises the step of applying spatial corrections at a sub-pixel resolution.
24. The method of Claim 21, further comprising the step of providing a calibration signal, wherein the step of aligning comprises the step of generating horizontal and vertical spatial offsets based upon a comparison of each signal in the ensemble with the calibration signal.
25. The method of Claim 24, wherein the step of providing a calibration signal comprises the step of imaging a control sample having a single source.
26. The method of Claim 24, wherein the step of providing a calibration signal further comprising the step of providing the calibration signal when the multichannel system is initialized.
27. The method of Claim 24, wherein the step of providing a calibration signal further comprising the step of providing the calibration signal periodically during the use of the multichannel system.
28. The method of Claim 24, wherein each signal in the ensemble comprises image data, and horizontal and vertical spatial offsets are determined for each pixel of the image data, to align the images in the different channels.
29. The method of Claim 28, wherein the step of aligning, for successive signals in the ensemble that are processed, comprises the steps of:
(a) detecting a boundary of a signal currently being processed;
(b) preparing a correlogram based on the boundary and a reference signal, thereby enabling location of a peak in the correlogram;
(c) repositioning the signal currently being processed, to correspond to the peak of the correlogram.
(a) detecting a boundary of a signal currently being processed;
(b) preparing a correlogram based on the boundary and a reference signal, thereby enabling location of a peak in the correlogram;
(c) repositioning the signal currently being processed, to correspond to the peak of the correlogram.
30. The method of Claim 29, wherein the step of detecting a boundary of the signal currently being processed comprises the step of using a two-dimensional gradient operator to suppress flat surfaces and to enhance object boundaries.
31. The method of Claim 29, wherein the step of preparing a correlogram based on the boundary and the reference signal comprises the step of preparing a correlogram in a frequency domain.
32. The method of Claim 31, wherein the step of preparing a correlogram in the frequency domain comprises the steps of:
(a) performing a Fourier Transform of boundary data for a selected signal from the ensemble and a Fourier Transform of the reference signal;
(b) multiplying a result of the Fourier Transform of the boundary data for the selected signal by a result of the Fourier Transform of the reference signal to generate a product; and (c) performing an inverse Fourier Transform of the product.
(a) performing a Fourier Transform of boundary data for a selected signal from the ensemble and a Fourier Transform of the reference signal;
(b) multiplying a result of the Fourier Transform of the boundary data for the selected signal by a result of the Fourier Transform of the reference signal to generate a product; and (c) performing an inverse Fourier Transform of the product.
33. The method of Claim 29, wherein the step of preparing a correlogram based on the boundary and the reference signal comprises the step of preparing a correlogram in the spatial domain.
34. The method of Claim 33, wherein the step of preparing a correlogram in the spatial domain comprises the steps of performing signal processing upon a subset of possible spatial alignment offsets.
35. The method of Claim 29, wherein groups of image data in each channel of the multichannel system are processed together, such that a cumulative correlogram is generated for each successive channel that is processed.
36. The method of Claim 29, wherein the step of aligning further comprises the step of reconstructing each signal in the ensemble by interpolating a position of the image produced with the signal to a fraction of a pixel.
37. The method of Claim 36, wherein the step of reconstructing each signal comprises the step of applying a two-dimensional interpolation.
38. The method of Claim 37, wherein the step of applying a two-dimensional interpolation comprises the step of computing a new amplitude value for each pixel based on a weighted sum of a group of surrounding pixels.
39. The method of Claim 38, wherein the step of computing a new amplitude value for each pixel is based on a weighted sum of a group of nine pixels, eight pixels of which surround an origin pixel.
40. The method of Claim 38, wherein the step of computing a new amplitude value for each pixel comprises the step of applying a matrix of coefficients to each pixel value, wherein a sum the of the coefficients in the matrix is equal to 1Ø
41. The method of Claim 29, further comprising the step of determining the peak of the correlogram by employing a Taylor series expansion, eigenvalues, and eigenvectors.
42. The method of Claim 22, wherein the second class of constants comprises at least one of channel start columns for each signal, and inverted source coefficients.
43. The method of Claim 22, wherein the step of applying the spectral crosstalk corrections comprises the step of employing constants that are accessed, but which are not modified.
44. The method of Claim 21, wherein the step of aligning comprises the step of aligning the signal in real time.
45. The method of Claim 24, further comprising the step of storing the signals for a period of time, wherein the step of applying spectral crosstalk corrections comprises the step of applying spectral crosstalk corrections to at least one of the signals that have been stored for the period of time.
46. The method of Claim 21, further comprising the step of storing the signals for a period of time, wherein the step of aligning the signals in the ensemble comprises the step of aligning signals that have been stored for the period of time.
47. A method for correcting errors in a multichannel imaging system, wherein each channel has signal information relating to an image of an object, comprising the steps of:
(a) focusing light from the object along a collection path;
(b) dispersing the light that is traveling along the collection path into a plurality of light beams, such that each light beam corresponds to a different source on the object;
(c) focusing each of the light beams to produce respective images for the light beams;
(d) providing at least one detector disposed to receive the respective images and in response, generating an output signal corresponding to each image;
(e) correcting misalignment of the images on said at least one detector to within sub-pixel resolution, so that all of the output signals are substantially aligned in time; and (f) substantially reducing crosstalk contributions to each output signal from other output signals.
(a) focusing light from the object along a collection path;
(b) dispersing the light that is traveling along the collection path into a plurality of light beams, such that each light beam corresponds to a different source on the object;
(c) focusing each of the light beams to produce respective images for the light beams;
(d) providing at least one detector disposed to receive the respective images and in response, generating an output signal corresponding to each image;
(e) correcting misalignment of the images on said at least one detector to within sub-pixel resolution, so that all of the output signals are substantially aligned in time; and (f) substantially reducing crosstalk contributions to each output signal from other output signals.
48. A method for correcting errors in a multichannel imaging system, wherein each channel is intended to contain signal information relating to an image of an object, comprising the steps of:
(a) focusing light from the object along a collection path;
(b) dispersing the light that is traveling along the collection path into a plurality of light beams, such that each light beam corresponds to a different source;
(c) focusing each of the light beams to produce respective images for the light beams;
(d) providing at least one detector disposed to receive the respective images and in response, generating an output signal corresponding to each image;
(e) correcting misalignment of the images on said at least one detector, so that all of the output signals are substantially aligned in time;
and (f) substantially reducing crosstalk contributions to each output signal from other output signals.
(a) focusing light from the object along a collection path;
(b) dispersing the light that is traveling along the collection path into a plurality of light beams, such that each light beam corresponds to a different source;
(c) focusing each of the light beams to produce respective images for the light beams;
(d) providing at least one detector disposed to receive the respective images and in response, generating an output signal corresponding to each image;
(e) correcting misalignment of the images on said at least one detector, so that all of the output signals are substantially aligned in time;
and (f) substantially reducing crosstalk contributions to each output signal from other output signals.
49. The method of Claim 48, wherein the step of correcting misalignment comprises the steps of:
(a) determining a spatial offset between an image currently being processed and a reference image; and (b) applying a correction factor to the output signal of the image currently being processed to substantially eliminate the spatial offset.
(a) determining a spatial offset between an image currently being processed and a reference image; and (b) applying a correction factor to the output signal of the image currently being processed to substantially eliminate the spatial offset.
50. The method of Claim 49, wherein the step of applying a correction factor so as to substantially eliminate the spatial offset comprises the steps of:
(a) spatially adjusting image data in the output signal so that the image data in the output signal is aligned with the reference image data to the nearest pixel; and (b) reconstructing the output signal by interpolating a remainder of the spatial offset to a fraction of a pixel, to further reduce the spatial offset in the output signal for the image currently being processed.
(a) spatially adjusting image data in the output signal so that the image data in the output signal is aligned with the reference image data to the nearest pixel; and (b) reconstructing the output signal by interpolating a remainder of the spatial offset to a fraction of a pixel, to further reduce the spatial offset in the output signal for the image currently being processed.
51. The method of Claim 48, wherein the step of substantially reducing crosstalk contributions to the output signal comprises the step of solving a set of linear equations, wherein each output signal is represented by a linear equation.
52. The method of Claim 51, wherein the step of solving a set of linear equations comprises the step of solving the set of linear equations for each pixel in the image that produces the output signal.
53. The method of Claim 52, wherein the step of solving a set of linear equations comprises the step of applying a singular value decomposition to a matrix form of the set of linear equations.
54. A multichannel imaging system for generating an ensemble of images from an object for each field of view of the object, wherein each image in the ensemble contains information from substantially only one source, comprising:
(a) a collection lens disposed so that light traveling from the object passes through the collection lens and travels along a collection path;
(b) a dispersing component disposed in the collection path so as to receive the light that has passed through the collection lens, dispersing the light into a plurality of light beams, each light beam being directed away from the dispersing component in a different predetermined direction;
(c) an imaging lens disposed to receive the light beams from the dispersing component, thereby producing said ensemble of images, each image being produced from a different one of the light beams and being projected by the imaging lens toward a different predetermined location;
(d) a multichannel detector disposed to receive the plurality of images produced by the imaging lens, the multichannel detector producing a plurality of output signals, such that a separate output signal is produced for each of said light beams; and (e) means for processing the output signals to:
(i) correct the output signals for any misalignment between the images in the ensemble on the multichannel detector to within sub-pixel resolution; and (ii) reduce contributions from the output signals of other channels, to the output signal in each channel.
(a) a collection lens disposed so that light traveling from the object passes through the collection lens and travels along a collection path;
(b) a dispersing component disposed in the collection path so as to receive the light that has passed through the collection lens, dispersing the light into a plurality of light beams, each light beam being directed away from the dispersing component in a different predetermined direction;
(c) an imaging lens disposed to receive the light beams from the dispersing component, thereby producing said ensemble of images, each image being produced from a different one of the light beams and being projected by the imaging lens toward a different predetermined location;
(d) a multichannel detector disposed to receive the plurality of images produced by the imaging lens, the multichannel detector producing a plurality of output signals, such that a separate output signal is produced for each of said light beams; and (e) means for processing the output signals to:
(i) correct the output signals for any misalignment between the images in the ensemble on the multichannel detector to within sub-pixel resolution; and (ii) reduce contributions from the output signals of other channels, to the output signal in each channel.
55. A multichannel imaging system for generating an ensemble of images from an object having a plurality of field of views, for each field of view of the object, wherein each image in the ensemble contains information from substantially only one source, comprising:
(a) a collection lens disposed so that light traveling from the object passes through the collection lens and travels along a collection path;
(b) a dispersing component disposed in the collection path so as to receive the light that has passed through the collection lens, dispersing the light into a plurality of light beams, each light beam being directed away from the dispersing component in a different predetermined direction;
(c) an imaging lens disposed to receive the light beams from the dispersing component, thereby producing said ensemble of images, each image being produced from a different one of the light beams and being projected by the imaging lens toward a different predetermined location;
(d) a multichannel detector disposed to receive the plurality of images produced by the imaging lens, the multichannel detector producing a plurality of output signals, such that a separate output signal is produced for each of said light beams; and (e) means for processing the output signals to:
(i) correct the output signals for any misalignment between the images in the ensemble on the multichannel detector; and (ii) reduce contributions from the output signals of other channels, to the output signal in each channel.
(a) a collection lens disposed so that light traveling from the object passes through the collection lens and travels along a collection path;
(b) a dispersing component disposed in the collection path so as to receive the light that has passed through the collection lens, dispersing the light into a plurality of light beams, each light beam being directed away from the dispersing component in a different predetermined direction;
(c) an imaging lens disposed to receive the light beams from the dispersing component, thereby producing said ensemble of images, each image being produced from a different one of the light beams and being projected by the imaging lens toward a different predetermined location;
(d) a multichannel detector disposed to receive the plurality of images produced by the imaging lens, the multichannel detector producing a plurality of output signals, such that a separate output signal is produced for each of said light beams; and (e) means for processing the output signals to:
(i) correct the output signals for any misalignment between the images in the ensemble on the multichannel detector; and (ii) reduce contributions from the output signals of other channels, to the output signal in each channel.
56. The system of Claim 55, further comprising a display electrically coupled to said means for processing, said display producing an image in response to the output signal as processed by said means for processing.
57. The system of Claim 55, wherein said means for processing comprises:
(a) a memory in which a plurality of machine instructions defining a signal conditioning function are stored; and (b) a processor that is coupled to the memory to access the machine instructions, said processor executing said machine instructions and thereby implementing a plurality of functions, including:
(i) processing the output signals to spatially align the images detected by the multichannel detector; and (ii) applying a spectral crosstalk correction to the output signals, to remove a channel-to-channel crosstalk.
(a) a memory in which a plurality of machine instructions defining a signal conditioning function are stored; and (b) a processor that is coupled to the memory to access the machine instructions, said processor executing said machine instructions and thereby implementing a plurality of functions, including:
(i) processing the output signals to spatially align the images detected by the multichannel detector; and (ii) applying a spectral crosstalk correction to the output signals, to remove a channel-to-channel crosstalk.
58. The system of Claim 55, wherein said multichannel detector comprises a time delay integration (TDI) detector, said TDI detector producing said output signals by integrating light from at least a portion of the object over time, while a relative movement between the object and the imaging system occurs.
59. A multichannel imaging system for generating an ensemble of images of an object, wherein each image in the ensemble contains information from substantially only a single source from among a plurality of sources, comprising:
(a) a first collection lens disposed so that light from the object passes through the first collection lens and travels along a first collection path;
(b) a first light dispersing element disposed in the first collection path so as to disperse the light that has passed through the first collection lens, producing a first source from among said plurality of sources;
(c) a first imaging lens disposed to receive light from the first source, producing a first image from the first source, said first image being a first one of said ensemble of images;
(d) a first detector disposed to receive said first image produced by the first imaging lens, and in response thereto, producing a first output signal;
(e) a second collection lens disposed so that light from the object passes through the second collection lens and travels along a second collection path different than the first collection path;
(f) a second light dispersing element disposed in the second collection path so as to disperse the light that has passed through the second collection lens, producing a second source from among said plurality of sources;
(g) a second imaging lens disposed to receive light from the second source, producing a second image from the second source, said second image comprising a second one of said ensemble of images;
(h) a second detector disposed to receive said second image produced by the second imaging lens, producing a second output signal; and (i) means coupled to each detector, for processing the first and the second output signals to perform the following functions:
(i) correcting the output signals for misalignment between the images on the first and the second detector; and (ii) substantially reducing contributions to each of the first and the second output signals from the other of the first and the second output signals.
(a) a first collection lens disposed so that light from the object passes through the first collection lens and travels along a first collection path;
(b) a first light dispersing element disposed in the first collection path so as to disperse the light that has passed through the first collection lens, producing a first source from among said plurality of sources;
(c) a first imaging lens disposed to receive light from the first source, producing a first image from the first source, said first image being a first one of said ensemble of images;
(d) a first detector disposed to receive said first image produced by the first imaging lens, and in response thereto, producing a first output signal;
(e) a second collection lens disposed so that light from the object passes through the second collection lens and travels along a second collection path different than the first collection path;
(f) a second light dispersing element disposed in the second collection path so as to disperse the light that has passed through the second collection lens, producing a second source from among said plurality of sources;
(g) a second imaging lens disposed to receive light from the second source, producing a second image from the second source, said second image comprising a second one of said ensemble of images;
(h) a second detector disposed to receive said second image produced by the second imaging lens, producing a second output signal; and (i) means coupled to each detector, for processing the first and the second output signals to perform the following functions:
(i) correcting the output signals for misalignment between the images on the first and the second detector; and (ii) substantially reducing contributions to each of the first and the second output signals from the other of the first and the second output signals.
60. The system of Claim 59, further comprising a display electrically coupled to said means for processing, said display reproducing an image in response to each output signal as processed by said means for processing.
61. The system of Claim 59, wherein said means processing comprises an oscilloscope.
62. The system of Claim 59, wherein said means for processing comprises a programmed computer.
63. The system of Claim 59, wherein said means for processing comprises an application specific integrated circuit.
64. The system of Claim 59, wherein each detector comprises a pixilated detector.
65. A multichannel imaging system for generating an ensemble of images of an object, wherein each image in the ensemble contains information from substantially only a single source from among a plurality of sources, comprising:
(a) a collection lens disposed so that light traveling from the object passes through the collection lens and is focussed along a collection path;
(b) a dispersing component that receives the light from the collection lens and disperses the light into a plurality of light beams, as a function of a plurality of different discriminable characteristics of the light, each of said plurality of light beams corresponding to a different one of said plurality of sources;
(c) at least one pixilated detector;
(d) an imaging lens that focuses each of the plurality of light beams on said at least one pixilated detector, producing a respective image corresponding to a different one of the plurality of light beams, each image being one of said ensemble of images, said at least one pixilated detector providing an output signal for each respective image; and (e) a signal processor coupled to receive the output signals from said at least one pixilated detector, said signal processor processing the output signals to:
(i) correct the output signals for any misalignment between the respective images on said at least one pixilated detector; and (ii) substantially reducing crosstalk between the output signals.
(a) a collection lens disposed so that light traveling from the object passes through the collection lens and is focussed along a collection path;
(b) a dispersing component that receives the light from the collection lens and disperses the light into a plurality of light beams, as a function of a plurality of different discriminable characteristics of the light, each of said plurality of light beams corresponding to a different one of said plurality of sources;
(c) at least one pixilated detector;
(d) an imaging lens that focuses each of the plurality of light beams on said at least one pixilated detector, producing a respective image corresponding to a different one of the plurality of light beams, each image being one of said ensemble of images, said at least one pixilated detector providing an output signal for each respective image; and (e) a signal processor coupled to receive the output signals from said at least one pixilated detector, said signal processor processing the output signals to:
(i) correct the output signals for any misalignment between the respective images on said at least one pixilated detector; and (ii) substantially reducing crosstalk between the output signals.
66. The system of Claim 65, wherein said pixilated detector comprises a time delay integration (TDI) detector, said TDI detector produces said output signals by integrating light from at least a portion of the object over time, while a relative movement between the object and the imaging system occurs.
67. The system of Claim 65, wherein said signal processor comprises an oscilloscope.
68. The system of Claim 65, wherein said signal processor comprises a programmed computer.
69. The system of Claim 65, wherein said signal processor comprises an application specific integrated circuit.
70. An article of manufacture adapted for use with a computer, comprising:
(a) a memory medium; and (b) a plurality of machine instructions, which are stored on the memory medium, said plurality of machine instructions when executed by a computer, causing the computer to:
(i) correct a signal misalignment between a set of related signals to within sub-pixel resolution, wherein each one of the set of related signals primarily contains information corresponding to a different specific source;
and (ii) substantially reduce crosstalk contributions to each of the signals from other of the signals in the set of related signals.
(a) a memory medium; and (b) a plurality of machine instructions, which are stored on the memory medium, said plurality of machine instructions when executed by a computer, causing the computer to:
(i) correct a signal misalignment between a set of related signals to within sub-pixel resolution, wherein each one of the set of related signals primarily contains information corresponding to a different specific source;
and (ii) substantially reduce crosstalk contributions to each of the signals from other of the signals in the set of related signals.
71. An article of manufacture adapted for use with a processor, comprising:
(a) a memory medium; and (b) a plurality of machine instructions, which are stored on the memory medium, said plurality of machine instructions when executed by a processor, causing the processor to:
(i) correct a signal misalignment between a set of related signals, wherein each one of the set of related signals primarily contains information corresponding to a different specific source; and (ii) substantially reduce crosstalk contributions to each of the signals from other of the signals in the set of related signals.
(a) a memory medium; and (b) a plurality of machine instructions, which are stored on the memory medium, said plurality of machine instructions when executed by a processor, causing the processor to:
(i) correct a signal misalignment between a set of related signals, wherein each one of the set of related signals primarily contains information corresponding to a different specific source; and (ii) substantially reduce crosstalk contributions to each of the signals from other of the signals in the set of related signals.
72. A system for reducing crosstalk among a plurality of related signals in a set, each one of the set of related signals primarily containing information corresponding to a specific different source from among a plurality of different sources, comprising:
(a) a memory in which a plurality of machine instructions defining the parent application are stored; and (b) a processor that is coupled to the memory to access the machine instructions, said processor executing said machine instructions and thereby implementing a plurality of functions, including:
(i) correcting a signal misalignment between the plurality of related signals, each one of the plurality of related signals in the set is substantially aligned with other of the plurality of related signals in the set; and (ii) for each one of the plurality of related signals in the set, reducing crosstalk contributions from other of the plurality of related signals.
(a) a memory in which a plurality of machine instructions defining the parent application are stored; and (b) a processor that is coupled to the memory to access the machine instructions, said processor executing said machine instructions and thereby implementing a plurality of functions, including:
(i) correcting a signal misalignment between the plurality of related signals, each one of the plurality of related signals in the set is substantially aligned with other of the plurality of related signals in the set; and (ii) for each one of the plurality of related signals in the set, reducing crosstalk contributions from other of the plurality of related signals.
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Families Citing this family (111)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6975400B2 (en) * | 1999-01-25 | 2005-12-13 | Amnis Corporation | Imaging and analyzing parameters of small moving objects such as cells |
US8406498B2 (en) * | 1999-01-25 | 2013-03-26 | Amnis Corporation | Blood and cell analysis using an imaging flow cytometer |
US8131053B2 (en) | 1999-01-25 | 2012-03-06 | Amnis Corporation | Detection of circulating tumor cells using imaging flow cytometry |
US7057732B2 (en) * | 1999-01-25 | 2006-06-06 | Amnis Corporation | Imaging platform for nanoparticle detection applied to SPR biomolecular interaction analysis |
US20060257884A1 (en) * | 2004-05-20 | 2006-11-16 | Amnis Corporation | Methods for preparing and analyzing cells having chromosomal abnormalities |
US8885913B2 (en) | 1999-01-25 | 2014-11-11 | Amnis Corporation | Detection of circulating tumor cells using imaging flow cytometry |
US7450229B2 (en) * | 1999-01-25 | 2008-11-11 | Amnis Corporation | Methods for analyzing inter-cellular phenomena |
US8005314B2 (en) * | 2005-12-09 | 2011-08-23 | Amnis Corporation | Extended depth of field imaging for high speed object analysis |
US6934408B2 (en) * | 2000-08-25 | 2005-08-23 | Amnis Corporation | Method and apparatus for reading reporter labeled beads |
US6875973B2 (en) * | 2000-08-25 | 2005-04-05 | Amnis Corporation | Auto focus for a flow imaging system |
WO2002031583A1 (en) | 2000-10-12 | 2002-04-18 | Amnis Corporation | System and method for high numeric aperture imaging systems |
AU2002241579A1 (en) | 2000-10-24 | 2002-06-11 | Fatemeh Mojtabai | Ordered two-and three-dimensional structures of amphiphilic molecules |
CA2445960A1 (en) * | 2001-02-21 | 2002-12-19 | Amnis Corporation | Method and apparatus for labeling and analyzing cellular components |
US8958654B1 (en) * | 2001-04-25 | 2015-02-17 | Lockheed Martin Corporation | Method and apparatus for enhancing three-dimensional imagery data |
CA2445044C (en) * | 2001-04-25 | 2011-02-15 | Amnis Corporation | Method and apparatus for correcting crosstalk and spatial resolution for multichannel imaging |
US7190832B2 (en) * | 2001-07-17 | 2007-03-13 | Amnis Corporation | Computational methods for the segmentation of images of objects from background in a flow imaging instrument |
US7280207B2 (en) | 2001-07-25 | 2007-10-09 | Applera Corporation | Time-delay integration in a flow cytometry system |
US6806856B2 (en) * | 2001-08-09 | 2004-10-19 | Microsoft Corporation | Reflective displays with color filter cross-talk compensation |
WO2003091417A2 (en) * | 2002-04-25 | 2003-11-06 | Fatemeh Mojtabai | Self-similar ordered microstructural arrays of amphiphilic molecules |
US7286697B2 (en) * | 2002-10-18 | 2007-10-23 | Applied Materials, Israel, Ltd. | System for imaging an extended area |
US7627251B2 (en) * | 2002-10-29 | 2009-12-01 | Massachusetts Institute Of Technology | Wavelength division and polarization division multiple access free space optical terminal using a single aperture |
US7970279B2 (en) * | 2002-11-05 | 2011-06-28 | Lightfleet Corporation | N-way serial-channel interconnect |
US7796885B2 (en) * | 2002-11-05 | 2010-09-14 | Lightfleet Corporation | Distribution optical elements and compound collecting lenses for broadcast optical interconnect |
JP4290652B2 (en) * | 2002-11-05 | 2009-07-08 | ライトフリート コーポレイション | Optical fan-out / broadcast connection |
US7435602B2 (en) | 2002-12-20 | 2008-10-14 | Applied Biosystems Inc. | Reducing effects of spectral nonuniformity |
US7610942B2 (en) * | 2003-01-15 | 2009-11-03 | Amnis Corporation | Cell suspension rotating fluidic pump |
US8103080B2 (en) * | 2004-03-16 | 2012-01-24 | Amnis Corporation | Method for imaging and differential analysis of cells |
US8953866B2 (en) | 2004-03-16 | 2015-02-10 | Amnis Corporation | Method for imaging and differential analysis of cells |
ATE538138T1 (en) * | 2004-03-16 | 2012-01-15 | Amnis Corp | IMAGING-BASED QUANTIFICATION OF MOLECULAR TRANSLOCATION |
US7400352B1 (en) * | 2004-05-26 | 2008-07-15 | Eastman Kodak Company | Method of estimating electrical cross talk in an array of imaging cells |
DK2884258T3 (en) | 2004-07-27 | 2017-01-02 | Beckman Coulter Inc | IMPROVING FLOW CYTOMETRIC DISCRIMINATION WITH COMPUTER IMPLEMENTED GEOMETRIC TRANSFORMATION |
US7508968B2 (en) * | 2004-09-22 | 2009-03-24 | Siemens Medical Solutions Usa, Inc. | Image compounding based on independent noise constraint |
US7355696B2 (en) * | 2005-02-01 | 2008-04-08 | Arryx, Inc | Method and apparatus for sorting cells |
US20060291706A1 (en) * | 2005-06-23 | 2006-12-28 | Applera Corporation | Method of extracting intensity data from digitized image |
US7996188B2 (en) | 2005-08-22 | 2011-08-09 | Accuri Cytometers, Inc. | User interface for a flow cytometer system |
EP2261635B1 (en) | 2005-09-21 | 2017-05-03 | Luminex Corporation | Methods and systems for image data processing |
US8303894B2 (en) | 2005-10-13 | 2012-11-06 | Accuri Cytometers, Inc. | Detection and fluidic system of a flow cytometer |
US8017402B2 (en) | 2006-03-08 | 2011-09-13 | Accuri Cytometers, Inc. | Fluidic system for a flow cytometer |
US8189937B2 (en) * | 2005-11-11 | 2012-05-29 | Nikon Corporation | Line-scanning confocal microscope apparatus |
CN104162200B (en) | 2006-02-09 | 2018-03-27 | 德卡产品有限公司 | peripheral system |
US8031340B2 (en) * | 2006-02-22 | 2011-10-04 | Accuri Cytometers, Inc. | Optical system for a flow cytometer |
ES2638163T3 (en) * | 2006-02-22 | 2017-10-19 | Accuri Instruments Inc | Optical system for a flow cytometer |
US8149402B2 (en) | 2006-02-22 | 2012-04-03 | Accuri Cytometers, Inc. | Optical system for a flow cytometer |
US7780916B2 (en) | 2006-03-08 | 2010-08-24 | Accuri Cytometers, Inc. | Flow cytometer system with unclogging feature |
US8283177B2 (en) | 2006-03-08 | 2012-10-09 | Accuri Cytometers, Inc. | Fluidic system with washing capabilities for a flow cytometer |
US8009889B2 (en) * | 2006-06-27 | 2011-08-30 | Affymetrix, Inc. | Feature intensity reconstruction of biological probe array |
US7805020B2 (en) * | 2006-07-25 | 2010-09-28 | Itt Manufacturing Enterprises, Inc. | Motion compensated image registration for overlaid/fused video |
US20080028246A1 (en) * | 2006-07-31 | 2008-01-31 | Witham Timothy D | Self-monitoring and self-adjusting power consumption computer control system |
US8005301B2 (en) * | 2006-08-25 | 2011-08-23 | Q5 Innovations Inc. | Method of difference sensing through optical coherent change detection |
US8715573B2 (en) | 2006-10-13 | 2014-05-06 | Accuri Cytometers, Inc. | Fluidic system for a flow cytometer with temporal processing |
US8445286B2 (en) * | 2006-11-07 | 2013-05-21 | Accuri Cytometers, Inc. | Flow cell for a flow cytometer system |
JP4874069B2 (en) * | 2006-11-27 | 2012-02-08 | オリンパス株式会社 | Confocal microscope |
US7739060B2 (en) * | 2006-12-22 | 2010-06-15 | Accuri Cytometers, Inc. | Detection system and user interface for a flow cytometer system |
US8000229B2 (en) * | 2007-02-07 | 2011-08-16 | Lightfleet Corporation | All-to-all interconnect fabric generated monotonically increasing identifier |
WO2008109061A2 (en) * | 2007-03-01 | 2008-09-12 | Lightfleet Corporation | Time domain symbols |
CA2691907C (en) * | 2007-06-29 | 2013-08-06 | F. Hoffmann-La Roche Ag | Systems and methods for determining cross-talk coefficients in pcr and other data sets |
US8463078B2 (en) * | 2007-08-23 | 2013-06-11 | Lockheed Martin Corporation | Multi-bank TDI approach for high-sensitivity scanners |
US20090102939A1 (en) * | 2007-10-18 | 2009-04-23 | Narendra Ahuja | Apparatus and method for simultaneously acquiring multiple images with a given camera |
US8432541B2 (en) * | 2007-12-17 | 2013-04-30 | Accuri Cytometers, Inc. | Optical system for a flow cytometer with an interrogation zone |
US8237779B2 (en) * | 2008-04-04 | 2012-08-07 | Texas Instruments Incorporated | Coding scheme for digital video signals and an image architecture using the same |
CN101688838B (en) * | 2008-06-11 | 2012-05-23 | 博奥生物有限公司 | A reliable fluorescence correction method for two-color microarray fluorescence system |
FR2938065B1 (en) * | 2008-11-05 | 2012-05-25 | I2S | METHOD FOR SCANNING BOOKS IN THREE DIMENSIONS BY WAVE TERAHERTZ. |
US20100166430A1 (en) * | 2008-12-26 | 2010-07-01 | Steve Alten | Broadcast optical interconnect using a MEMS mirror |
US7901557B2 (en) * | 2009-04-20 | 2011-03-08 | Advanced Analytical Technologies, Inc. | Method for multiplexed capillary electrophoresis signal cross-talk correction |
US8475640B2 (en) * | 2009-04-20 | 2013-07-02 | Advanced Analytical Technologies, Inc. | Method for multiplexed capillary electrophoresis signal cross-talk correction |
US8507279B2 (en) | 2009-06-02 | 2013-08-13 | Accuri Cytometers, Inc. | System and method of verification of a prepared sample for a flow cytometer |
GB0914982D0 (en) * | 2009-08-27 | 2009-09-30 | Univ East Anglia | Methods and apparatus for generating accented image data |
US20110096975A1 (en) * | 2009-09-09 | 2011-04-28 | Life Technologies Corporation | Systems and methods for identifying microparticles |
US8451524B2 (en) * | 2009-09-29 | 2013-05-28 | Amnis Corporation | Modifying the output of a laser to achieve a flat top in the laser's Gaussian beam intensity profile |
CA2771727C (en) | 2009-11-04 | 2013-01-08 | Technologies Numetrix Inc. | Device and method for obtaining three-dimensional object surface data |
CN102082604B (en) * | 2009-12-01 | 2014-01-22 | 富士通株式会社 | Crosstalk factor estimation device and crosstalk factor estimation method |
EP2510683A4 (en) * | 2009-12-08 | 2013-12-04 | Hewlett Packard Development Co | Method for compensating for cross-talk in 3-d display |
WO2011106402A1 (en) | 2010-02-23 | 2011-09-01 | Accuri Cytometers, Inc. | Method and system for detecting fluorochromes in a flow cytometer |
FR2959903B1 (en) * | 2010-05-04 | 2012-07-27 | Astrium Sas | POLYCHROME IMAGING METHOD |
US8817115B1 (en) | 2010-05-05 | 2014-08-26 | Amnis Corporation | Spatial alignment of image data from a multichannel detector using a reference image |
JP2011244079A (en) * | 2010-05-14 | 2011-12-01 | Canon Inc | Three-dimensional image control device and three-dimensional image control method |
US9551600B2 (en) | 2010-06-14 | 2017-01-24 | Accuri Cytometers, Inc. | System and method for creating a flow cytometer network |
US8767069B2 (en) * | 2010-06-30 | 2014-07-01 | Luminex Corporation | Apparatus, system, and method for increasing measurement accuracy in a particle imaging device using light distribution |
US8787673B2 (en) * | 2010-07-12 | 2014-07-22 | Google Inc. | System and method of determining building numbers |
CN103168225B (en) | 2010-10-25 | 2015-11-25 | 阿库里赛托梅特斯公司 | For collecting system and the user interface of the data set in flow cytometer |
JP6109744B2 (en) | 2010-11-12 | 2017-04-05 | インセルディーエックス・インコーポレーテッド | Method and system for predicting whether a subject has a cervical intraepithelial neoplasia (CIN) lesion from a floating sample of cervical cells |
WO2012162830A1 (en) * | 2011-05-27 | 2012-12-06 | Exfo Inc. | Characterization of linear crosstalk on multiplexed optical signals |
JP5873183B2 (en) | 2011-10-18 | 2016-03-01 | ルミネックス コーポレーション | Image data processing method and system |
JP5710787B2 (en) * | 2011-12-29 | 2015-04-30 | インテル コーポレイション | Processing method, recording medium, processing apparatus, and portable computing device |
US9818182B2 (en) * | 2012-06-20 | 2017-11-14 | Hitachi, Ltd. | X-ray CT device |
JP6123360B2 (en) | 2013-03-07 | 2017-05-10 | セイコーエプソン株式会社 | Spectrometer |
BR112015025832B1 (en) | 2013-04-15 | 2022-03-15 | Wallac Oy | Method and device for crosstalk correction and measuring instrument |
KR20150010230A (en) * | 2013-07-18 | 2015-01-28 | 삼성전자주식회사 | Method and apparatus for generating color image and depth image of an object using singular filter |
CN104665859B (en) * | 2013-11-29 | 2017-12-15 | 通用电气公司 | Imaging system |
US9449244B2 (en) * | 2013-12-11 | 2016-09-20 | Her Majesty The Queen In Right Of Canada, As Represented By The Minister Of National Defense | Methods for in-scene atmospheric compensation by endmember matching |
US10900885B2 (en) | 2014-12-19 | 2021-01-26 | Captl Llc | Flow cytometry using hydrodynamically planar flow |
US10036698B2 (en) | 2015-06-19 | 2018-07-31 | Captl Llc | Time-sequential cytometry |
GB201611419D0 (en) * | 2016-06-30 | 2016-08-17 | Gill Corp Ltd | A precipitation sensor |
US10616516B2 (en) | 2016-09-30 | 2020-04-07 | Planet Labs Inc. | Systems and methods for implementing time delay integration imaging techniques in conjunction with distinct imaging regions on a monolithic charge-coupled device image sensor |
JP6751155B2 (en) | 2016-11-24 | 2020-09-02 | 富士フイルム株式会社 | Image processing device, imaging device, and image processing method |
CN106845381B (en) * | 2017-01-16 | 2022-09-23 | 西北工业大学 | Spatial-spectral combined hyperspectral image classification method based on two-channel convolutional neural network |
EP3355077B1 (en) * | 2017-01-25 | 2020-11-11 | Melexis Technologies NV | Light detection and ranging system |
KR20220093274A (en) * | 2017-02-10 | 2022-07-05 | 나노트로닉스 이미징, 인코포레이티드 | Camera and specimen alignment to facilitate large area imaging in microscopy |
KR102585276B1 (en) | 2017-03-31 | 2023-10-05 | 라이프 테크놀로지스 코포레이션 | Devices, systems, and methods for imaging flow cytometry |
US10337923B2 (en) | 2017-09-13 | 2019-07-02 | Qualcomm Incorporated | Directional interpolation and cross-band filtering for hyperspectral imaging |
US10957017B1 (en) * | 2019-04-16 | 2021-03-23 | Shutterstock, Inc. | Synthetic image detector |
GB2619178A (en) * | 2019-05-22 | 2023-11-29 | Hitachi High Tech Corp | Analysis device and analysis method |
US11116689B2 (en) * | 2020-02-04 | 2021-09-14 | Katherine Anne PETERSEN | Cane mobility device |
CN111879791B (en) * | 2020-07-30 | 2023-06-20 | 西湖大学 | Machine vision system and method for enhancing raised features on pattern surface |
EP3961194B1 (en) * | 2020-08-25 | 2023-11-08 | Korea Advanced Institute of Science and Technology | Method and apparatus for multiplexed imaging of biomolecules through iterative unmixing of fluorophore signals |
CN112070698B (en) * | 2020-09-07 | 2022-08-05 | 合肥工业大学 | Target and background contrast enhancement method based on multi-channel polarization distance model |
EP4053794A1 (en) * | 2021-03-05 | 2022-09-07 | Leica Microsystems CMS GmbH | Multispectral microscope system and method for registering first and second images by means thereof |
CN113916907B (en) * | 2021-12-13 | 2022-02-18 | 成都工业学院 | Grating stereograph printing quality detection method |
DE102022201532A1 (en) | 2022-02-15 | 2023-08-17 | Robert Bosch Gesellschaft mit beschränkter Haftung | Procedure for calibrating an analysis system for lab-on-chip cartridges |
EP4293408A1 (en) * | 2022-06-14 | 2023-12-20 | Leica Microsystems CMS GmbH | Imaging device and method for aligning images |
CN117455920B (en) * | 2023-12-26 | 2024-03-22 | 武汉博源新材料科技集团股份有限公司 | Artificial intelligence-based milk tea cup inferior product screening method and system |
Family Cites Families (62)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS49133042A (en) * | 1973-04-09 | 1974-12-20 | ||
EP0104477B1 (en) * | 1982-08-31 | 1989-12-20 | Dai Nippon Insatsu Kabushiki Kaisha | Method for inspecting image |
JP2531605B2 (en) * | 1984-02-24 | 1996-09-04 | 株式会社東芝 | Image registration device |
US4581586A (en) * | 1984-08-17 | 1986-04-08 | Ford Aerospace & Communications Corporation | Crosstalk reduction in unbalanced QPSK detectors |
US5096807A (en) | 1985-03-06 | 1992-03-17 | Murex Corporation | Imaging immunoassay detection system with background compensation and its use |
US4770992A (en) | 1985-11-27 | 1988-09-13 | Den Engh Gerrit J Van | Detection of specific DNA sequences by flow cytometry |
US4786165A (en) * | 1986-07-10 | 1988-11-22 | Toa Medical Electronics Co., Ltd. | Flow cytometry and apparatus therefor |
JP3181050B2 (en) * | 1990-04-20 | 2001-07-03 | 株式会社日立製作所 | Projection exposure method and apparatus |
US5159642A (en) * | 1990-07-13 | 1992-10-27 | Toa Medical Electronics Co., Ltd. | Particle image analyzing apparatus |
US5141609A (en) * | 1990-11-16 | 1992-08-25 | The Trustees Of The Leland Stanford Junior University | Method and device employing time-delayed integration for detecting sample components after separation |
US5817462A (en) | 1995-02-21 | 1998-10-06 | Applied Spectral Imaging | Method for simultaneous detection of multiple fluorophores for in situ hybridization and multicolor chromosome painting and banding |
JP3121849B2 (en) * | 1991-02-27 | 2001-01-09 | シスメックス株式会社 | Flow image cytometer |
JP3084296B2 (en) * | 1991-02-27 | 2000-09-04 | シスメックス株式会社 | Flow image cytometer |
JP3084295B2 (en) * | 1991-02-27 | 2000-09-04 | シスメックス株式会社 | Flow image cytometer |
JPH0734012B2 (en) * | 1991-02-27 | 1995-04-12 | 東亜医用電子株式会社 | Flow image cytometer |
US5548395A (en) * | 1991-09-20 | 1996-08-20 | Toa Medical Electronics Co., Ltd. | Particle analyzer |
JP3212647B2 (en) * | 1991-10-24 | 2001-09-25 | シスメックス株式会社 | Imaging flow cytometer |
JP3102935B2 (en) * | 1991-11-20 | 2000-10-23 | シスメックス株式会社 | Imaging flow cytometer |
US5422712A (en) * | 1992-04-01 | 1995-06-06 | Toa Medical Electronics Co., Ltd. | Apparatus for measuring fluorescent spectra of particles in a flow |
US5473338A (en) * | 1993-06-16 | 1995-12-05 | In Focus Systems, Inc. | Addressing method and system having minimal crosstalk effects |
JP3145486B2 (en) * | 1992-06-12 | 2001-03-12 | シスメックス株式会社 | Imaging flow cytometer |
US5351311A (en) * | 1992-07-28 | 1994-09-27 | The United States Of America As Represented By The Secretary Of The Navy | Neural network for detection and correction of local boundary misalignments between images |
US5365525A (en) * | 1992-11-27 | 1994-11-15 | Motorola, Inc. | Method for reducing bandwidth of a wireline communication path |
IL108497A0 (en) * | 1993-02-01 | 1994-05-30 | Seq Ltd | Methods and apparatus for dna sequencing |
DE69434551T2 (en) * | 1993-09-16 | 2006-06-14 | Sysmex Corp | Particle analyzer |
JP3290786B2 (en) * | 1993-11-26 | 2002-06-10 | シスメックス株式会社 | Particle analyzer |
JPH07286953A (en) * | 1994-04-19 | 1995-10-31 | Toa Medical Electronics Co Ltd | Imaging flow sight meter |
US5613156A (en) | 1994-09-27 | 1997-03-18 | Eastman Kodak Company | Imaging system with 1-N Parallel channels, each channel has a programmable amplifier and ADC with serial controller linking and controlling the amplifiers and ADCs |
US5695934A (en) * | 1994-10-13 | 1997-12-09 | Lynx Therapeutics, Inc. | Massively parallel sequencing of sorted polynucleotides |
US5556790A (en) | 1994-12-05 | 1996-09-17 | Pettit; John W. | Method for Automated DNA sequencing |
US5919140A (en) | 1995-02-21 | 1999-07-06 | Massachusetts Institute Of Technology | Optical imaging using time gated scattered light |
FI97665C (en) | 1995-11-21 | 1997-01-27 | Planmed Oy | Procedures and apparatus for photographing an object |
US6007994A (en) | 1995-12-22 | 1999-12-28 | Yale University | Multiparametric fluorescence in situ hybridization |
JP3640461B2 (en) * | 1996-04-03 | 2005-04-20 | シスメックス株式会社 | Particle analyzer |
US5988862A (en) * | 1996-04-24 | 1999-11-23 | Cyra Technologies, Inc. | Integrated system for quickly and accurately imaging and modeling three dimensional objects |
US5959953A (en) * | 1996-07-03 | 1999-09-28 | Zen Research Nv | Methods and apparatus for performing cross-talk correction in a multi-track optical disk reader based on magnification error |
US5929986A (en) | 1996-08-26 | 1999-07-27 | Kaiser Optical Systems, Inc. | Synchronous spectral line imaging methods and apparatus |
US5760899A (en) * | 1996-09-04 | 1998-06-02 | Erim International, Inc. | High-sensitivity multispectral sensor |
US5754291A (en) * | 1996-09-19 | 1998-05-19 | Molecular Dynamics, Inc. | Micro-imaging system |
US5855753A (en) * | 1996-11-26 | 1999-01-05 | The Trustees Of Princeton University | Method for electrohydrodynamically assembling patterned colloidal structures |
DE69841107D1 (en) * | 1997-07-12 | 2009-10-08 | Roper Ind Inc | MULTISPEKTRAL TWO-DIMENSIONAL IMAGE PROBES SPECTROMETER |
US5921926A (en) | 1997-07-28 | 1999-07-13 | University Of Central Florida | Three dimensional optical imaging colposcopy |
CA2298738A1 (en) | 1997-07-31 | 1999-02-11 | University Of California, Berkeley | Apparatus and methods for image and signal processing |
WO2000006989A2 (en) * | 1998-07-27 | 2000-02-10 | Ljl Biosystems, Inc. | Apparatus and methods for identifying quenching effects in luminescence assays |
US5900942A (en) * | 1997-09-26 | 1999-05-04 | The United States Of America As Represented By Administrator Of National Aeronautics And Space Administration | Multi spectral imaging system |
US6134283A (en) * | 1997-11-18 | 2000-10-17 | Amati Communications Corporation | Method and system for synchronizing time-division-duplexed transceivers |
JP3747621B2 (en) * | 1998-03-26 | 2006-02-22 | コニカミノルタオプト株式会社 | Color projection display device |
US6553044B1 (en) * | 1998-10-20 | 2003-04-22 | Quantum Devices, Inc. | Method and apparatus for reducing electrical and thermal crosstalk of a laser array |
US6330081B1 (en) * | 1998-11-20 | 2001-12-11 | Agfa Corporation | Crosstalk cancellation in a multi-color CCD signal processor |
JP3871456B2 (en) | 1998-12-10 | 2007-01-24 | シスメックス株式会社 | Particle image analyzer |
US6549664B1 (en) * | 1998-12-31 | 2003-04-15 | Siros Technologies, Inc. | Sparse modulation codes for holographic data storage |
US6256096B1 (en) * | 1999-01-11 | 2001-07-03 | Softray | Flow cytometry apparatus and method |
US20010006416A1 (en) | 1999-01-11 | 2001-07-05 | Johnson Paul E. | Ribbon flow cytometry apparatus and methods |
US6249341B1 (en) * | 1999-01-25 | 2001-06-19 | Amnis Corporation | Imaging and analyzing parameters of small moving objects such as cells |
US6452707B1 (en) * | 1999-02-17 | 2002-09-17 | Tycom (Us) Inc. | Method and apparatus for improving spectral efficiency in fiber-optic communication systems |
US6381363B1 (en) | 1999-03-15 | 2002-04-30 | Grass Valley (U.S.), Inc. | Histogram-based segmentation of images and video via color moments |
US6330361B1 (en) * | 1999-03-16 | 2001-12-11 | Litton Systems, Inc. | Adaptively aligned optical correlator and method |
US6156465A (en) * | 1999-04-12 | 2000-12-05 | Cymbolic Sciences Inc. | Crosstalk correction |
US6433904B1 (en) * | 1999-07-27 | 2002-08-13 | Sycamore Networks, Inc. | Method and apparatus for improving transmission performance over wavelength division multiplexed optical communication links using forward error correction coding |
US6662332B1 (en) * | 2000-07-05 | 2003-12-09 | 3Com Corporation | Interleaver for burst error correction |
US20020126275A1 (en) | 2001-03-12 | 2002-09-12 | Johnson Paul E. | LED illuminated particle detection apparatus and methods |
CA2445044C (en) * | 2001-04-25 | 2011-02-15 | Amnis Corporation | Method and apparatus for correcting crosstalk and spatial resolution for multichannel imaging |
-
2002
- 2002-04-24 CA CA2445044A patent/CA2445044C/en not_active Expired - Lifetime
- 2002-04-24 AU AU2002308693A patent/AU2002308693A1/en not_active Abandoned
- 2002-04-24 EP EP02764355A patent/EP1389956B1/en not_active Expired - Lifetime
- 2002-04-24 WO PCT/US2002/014979 patent/WO2002086416A2/en not_active Application Discontinuation
- 2002-04-24 US US10/132,059 patent/US6763149B2/en not_active Expired - Lifetime
-
2004
- 2004-02-20 US US10/783,530 patent/US7006710B2/en not_active Expired - Lifetime
-
2005
- 2005-09-12 US US11/224,200 patent/US7079708B2/en not_active Expired - Lifetime
-
2006
- 2006-05-18 US US11/419,138 patent/US7286719B2/en not_active Expired - Lifetime
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WO2002086416A3 (en) | 2003-02-20 |
WO2002086416A2 (en) | 2002-10-31 |
US7286719B2 (en) | 2007-10-23 |
US20030016882A1 (en) | 2003-01-23 |
US7006710B2 (en) | 2006-02-28 |
US20040161165A1 (en) | 2004-08-19 |
US7079708B2 (en) | 2006-07-18 |
CA2445044C (en) | 2011-02-15 |
EP1389956A4 (en) | 2009-06-03 |
AU2002308693A1 (en) | 2002-11-05 |
EP1389956A2 (en) | 2004-02-25 |
US20060198558A1 (en) | 2006-09-07 |
US20060002634A1 (en) | 2006-01-05 |
US6763149B2 (en) | 2004-07-13 |
EP1389956B1 (en) | 2012-10-31 |
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