CA2468861A1 - Robotic microscopy systems - Google Patents
Robotic microscopy systems Download PDFInfo
- Publication number
- CA2468861A1 CA2468861A1 CA002468861A CA2468861A CA2468861A1 CA 2468861 A1 CA2468861 A1 CA 2468861A1 CA 002468861 A CA002468861 A CA 002468861A CA 2468861 A CA2468861 A CA 2468861A CA 2468861 A1 CA2468861 A1 CA 2468861A1
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- CA
- Canada
- Prior art keywords
- biological material
- image
- substrate
- images
- candidate agent
- Prior art date
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- 238000000386 microscopy Methods 0.000 title claims abstract 5
- 238000000034 method Methods 0.000 claims abstract 54
- 239000012620 biological material Substances 0.000 claims abstract 38
- 238000003384 imaging method Methods 0.000 claims abstract 13
- 239000000758 substrate Substances 0.000 claims 22
- 239000003795 chemical substances by application Substances 0.000 claims 16
- 230000003595 spectral effect Effects 0.000 claims 5
- 230000004071 biological effect Effects 0.000 claims 4
- 230000000694 effects Effects 0.000 claims 4
- 230000003993 interaction Effects 0.000 claims 4
- 239000011159 matrix material Substances 0.000 claims 4
- 239000003550 marker Substances 0.000 claims 3
- 239000003086 colorant Substances 0.000 claims 1
- 238000001514 detection method Methods 0.000 claims 1
- 230000003287 optical effect Effects 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
- G01N21/6452—Individual samples arranged in a regular 2D-array, e.g. multiwell plates
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/251—Colorimeters; Construction thereof
- G01N21/253—Colorimeters; Construction thereof for batch operation, i.e. multisample apparatus
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
- G01N21/6456—Spatial resolved fluorescence measurements; Imaging
- G01N21/6458—Fluorescence microscopy
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B21/00—Microscopes
- G02B21/36—Microscopes arranged for photographic purposes or projection purposes or digital imaging or video purposes including associated control and data processing arrangements
- G02B21/365—Control or image processing arrangements for digital or video microscopes
- G02B21/367—Control or image processing arrangements for digital or video microscopes providing an output produced by processing a plurality of individual source images, e.g. image tiling, montage, composite images, depth sectioning, image comparison
Abstract
The invention comprises a robotic microscope system (2) and methods that allow high through-put analysis biological materials (10), particularly living cells, and allows precise return to and re-imaging of the same field (e.g., the same cell) that has been imaged earlier. This capability enables experiments and testing hypotheses that deal with causality over time intervals which are not possible with conventional microscopy methods.
Claims (46)
1. A method for imaging biological material, comprising:
positioning a substrate in association with an objective of an inverted microscope, said substrate having a plurality of discrete regions and an optically detectable reference mark thereon;
determining a location for at least one of said discrete region with respect to said reference mark and storing location information for said at least one discrete region in a computer memory;
imaging said biological material in said at least one of said discrete region;
and storing first image information for said at least one discrete region.
positioning a substrate in association with an objective of an inverted microscope, said substrate having a plurality of discrete regions and an optically detectable reference mark thereon;
determining a location for at least one of said discrete region with respect to said reference mark and storing location information for said at least one discrete region in a computer memory;
imaging said biological material in said at least one of said discrete region;
and storing first image information for said at least one discrete region.
2. The method of claim 1, wherein each discrete region is a well of a multi-well plate.
3. The method of claim 1, further comprising returning to the location of said at least one discrete region by alignment with said reference mark.
4. The method of claim 3, further comprising returning to the location of the same biological material imaged by alignment with said reference mark.
5. The method of claim 3, further comprising imaging said at least one discrete region to generate second image information and aligning said second image information with said stored first image information.
6. The method of claim 5, wherein aligning is achieved by maximizing the sum of the product of at least a portion of a matrix of pixel values from said first image information and at least a portion of a matrix of pixel values from said second image information.
7. The method of claim 6, wherein said matrices are provided so that pixel values below a threshold level are assigned the value of zero.
8. The method of claim 7, wherein pixel values above said threshold level are assigned the value of one.
9. The method of claim 5, wherein said first and second image information is an image of the same biological material.
10. The method of claim 5, further comprising:
contacting said biological material in a well of a multi-well plate with a candidate agent;
said first image information and said second image information being obtained at a time interval sufficient to allow for interaction of the candidate agent with said biological material; and comparing said first and second image information to assess the effect of said candidate agent upon said biological material.
contacting said biological material in a well of a multi-well plate with a candidate agent;
said first image information and said second image information being obtained at a time interval sufficient to allow for interaction of the candidate agent with said biological material; and comparing said first and second image information to assess the effect of said candidate agent upon said biological material.
11. A method of aligning image results, comprising:
obtaining a first image of a sample on a substrate, said substrate having an area located relative to a reference mark, said first image providing a first matrix of image values;
obtaining a second image of said sample on said substrate, said second image providing a second matrix of image values; and aligning said first and second images by first using said reference mark and then by maximizing the sum of the product of at least a portion of said first and second matrices.
obtaining a first image of a sample on a substrate, said substrate having an area located relative to a reference mark, said first image providing a first matrix of image values;
obtaining a second image of said sample on said substrate, said second image providing a second matrix of image values; and aligning said first and second images by first using said reference mark and then by maximizing the sum of the product of at least a portion of said first and second matrices.
12. The method of claim 11, wherein said alignment is performed using phase contrast images.
13. The method of claim 11, wherein a first set of fluorescent image results for said sample is obtained and said aligning is performed prior to obtaining a second set of fluorescent image results for said sample.
14. The method of claim 13, wherein said fluorescent images are of different colors.
15. The method of claim 11, wherein said aligning is performed using fluorescent images.
16. The method of claim 11, wherein said sample comprises biological material and the method further comprises:
contacting said biological material with a candidate agent;
said first and second images being obtained at a time interval sufficient to allow for interaction of the candidate agent with said biological material; and comparing image information of the aligned images to assess the effect of said candidate agent upon said biological material.
contacting said biological material with a candidate agent;
said first and second images being obtained at a time interval sufficient to allow for interaction of the candidate agent with said biological material; and comparing image information of the aligned images to assess the effect of said candidate agent upon said biological material.
17. A method of imaging substantially stationary biological material in a plurality of discrete regions of a substrate, comprising:
focusing for said biological material in a first discrete region of said substrate, said focusing providing a focus setting; and imaging said biological material in at least said first discrete region at said focus setting without refocusing.
focusing for said biological material in a first discrete region of said substrate, said focusing providing a focus setting; and imaging said biological material in at least said first discrete region at said focus setting without refocusing.
18. The method of claim 17, wherein focusing is performed for each of said plurality of discrete regions.
19. The method of claim 17, wherein the method further comprises:
determining a slope of said substrate by focusing on at least three points;
and adjusting said focus setting to account for said substrate slope when imaging said biological material in at least said first discrete region.
determining a slope of said substrate by focusing on at least three points;
and adjusting said focus setting to account for said substrate slope when imaging said biological material in at least said first discrete region.
20. A method of imaging substantially stationary biological material associated with a substrate, comprising:
determining a slope of said substrate by focusing on at least three points;
determining a focus setting for a portion of an area; and imaging said area with focus settings adjusted to account for said substrate slope.
determining a slope of said substrate by focusing on at least three points;
determining a focus setting for a portion of an area; and imaging said area with focus settings adjusted to account for said substrate slope.
21. The method of claim 20, wherein said substrate comprises a plurality of wells and said area is a well.
22. The method of claim 21, wherein focusing occurs for each of said plurality of wells a single time prior to imaging.
23. The method of claim 21, wherein said determining of slope is performed by focusing on said biological material within one well.
24. The method of claim 20, wherein said determining of slope is performed by focusing on said biological material.
25. A method of imaging biological material on a substrate, comprising:
providing an automated optical system adapted to detect at least two spectral ranges;
imaging said biological material to detect a first spectral range;
switching said system to detect a second spectral range; and adjusting focus of an objective of said system using a predetermined setting to compensate focus for detection of said second spectral range.
providing an automated optical system adapted to detect at least two spectral ranges;
imaging said biological material to detect a first spectral range;
switching said system to detect a second spectral range; and adjusting focus of an objective of said system using a predetermined setting to compensate focus for detection of said second spectral range.
26. The method of claim 25, wherein said substrate defines a mufti-well plate.
27. The method of claim 25, wherein said spectral ranges are selected from the group consisting of fluorescent emissions, luminescent emissions, chemiluminescent emissions, and reflected light.
28. A method of analyzing image data of biological material associated with a substrate, comprising:
imaging said biological material with a computer controlled system to obtain image results, said biological material being labeled with at least one fluorophor, said image results being represented by a plurality of pixel values;
calculating a mean threshold value of said pixel values;
calculating a standard deviation of said mean threshold value; and comparing said image pixel values to a threshold value determined by a line equation having a slope and a y-intercept, wherein said mean threshold value is the slope and the y-intercept comprises a minimum pixel value of said image results, and wherein pixel values below said threshold are disqualified, the remaining pixel values being qualified.
imaging said biological material with a computer controlled system to obtain image results, said biological material being labeled with at least one fluorophor, said image results being represented by a plurality of pixel values;
calculating a mean threshold value of said pixel values;
calculating a standard deviation of said mean threshold value; and comparing said image pixel values to a threshold value determined by a line equation having a slope and a y-intercept, wherein said mean threshold value is the slope and the y-intercept comprises a minimum pixel value of said image results, and wherein pixel values below said threshold are disqualified, the remaining pixel values being qualified.
29. The method of claim 28, wherein groups of adjacent qualified pixel values are classified into objects using a geometric filter.
30. The method of claim 29, wherein a count of classified objects is performed and recorded by said system.
31. A method for observing an individual cell in a cell population over a selected period of time, the method comprising:
providing a substrate having a reference mark, said cell being at least substantially stationary with respect to said substrate;
obtaining a first image of said cell at a first time point;
returning to said cell at a second time point and obtaining a second image of said cell;
wherein said returning is accomplished in reference to said mark and maximizing the sum of the product of two matrices corresponding to at least part of said first and second images.
providing a substrate having a reference mark, said cell being at least substantially stationary with respect to said substrate;
obtaining a first image of said cell at a first time point;
returning to said cell at a second time point and obtaining a second image of said cell;
wherein said returning is accomplished in reference to said mark and maximizing the sum of the product of two matrices corresponding to at least part of said first and second images.
32. The method of claim 31, wherein said returning is accomplished by a method selected from the methods of claims 12 - 15.
33. The method of claim 31, further comprising;
contacting said cell with a candidate agent; and comparing said first and second images to assess the effect of the candidate agent upon said cell.
contacting said cell with a candidate agent; and comparing said first and second images to assess the effect of the candidate agent upon said cell.
34. The method of claim 33, wherein said contacting is after obtaining said first image and prior to obtaining said second image.
35. A method for identifying a candidate agent having a biological activity of interest, the method comprising:
contacting biological material with a candidate agent for a period sufficient to allow for interaction of the candidate agent with said biological material, wherein said biological material associated with a well of a substrate, which substrate has a reference mark;
obtaining a first image of said biological material at a first time point;
returning to said biological material at a second time point and obtaining a second image of said biological material, wherein said returning is accomplished using the reference mark and maximizing the sum of the product of two matrices corresponding to said first and second images so as to provide for alignment of the first and second images of said biological material; and comparing the aligned first and second images, wherein differences between the first and second images are indicative of the biological activity of the candidate agent.
contacting biological material with a candidate agent for a period sufficient to allow for interaction of the candidate agent with said biological material, wherein said biological material associated with a well of a substrate, which substrate has a reference mark;
obtaining a first image of said biological material at a first time point;
returning to said biological material at a second time point and obtaining a second image of said biological material, wherein said returning is accomplished using the reference mark and maximizing the sum of the product of two matrices corresponding to said first and second images so as to provide for alignment of the first and second images of said biological material; and comparing the aligned first and second images, wherein differences between the first and second images are indicative of the biological activity of the candidate agent.
36. The method of claim 35, wherein the first and second images are of a detectable marker indicative of the same biologic variable so that the difference between the first and second images are indicative of a change in the same biologic variable.
37. The method of claim 35, wherein the first image is of a detectable marker indicative of the state of a first biologic variable and the second image if of a detectable marker indicative of the state of a second biologic variable.
38. A method for identifying a candidate agent having a biological activity of interest, the method comprising:
contacting biological material with a candidate agent for a period sufficient to allow for interaction of the candidate agent with said biological material, wherein said biological material is associated with a discrete region of a substrate, which substrate has a reference mark;
obtaining at a first time point an image of said biological material to detect a first biologic variable and an image of said cell to detect a second biologic variable;
returning to said biological material at a second time point and obtaining images to detect said first and second biologic variables, wherein said returning is accomplished using said reference mark and maximizing the sum of the product of matrices corresponding to at least said first and second images of one of said first and second biologic variables so as to provide for alignment of the images of the biological material; and comparing the aligned first and second images of each of said first and second biologic variables, wherein differences between said first and second images are indicative of the biological activity of the candidate agent.
contacting biological material with a candidate agent for a period sufficient to allow for interaction of the candidate agent with said biological material, wherein said biological material is associated with a discrete region of a substrate, which substrate has a reference mark;
obtaining at a first time point an image of said biological material to detect a first biologic variable and an image of said cell to detect a second biologic variable;
returning to said biological material at a second time point and obtaining images to detect said first and second biologic variables, wherein said returning is accomplished using said reference mark and maximizing the sum of the product of matrices corresponding to at least said first and second images of one of said first and second biologic variables so as to provide for alignment of the images of the biological material; and comparing the aligned first and second images of each of said first and second biologic variables, wherein differences between said first and second images are indicative of the biological activity of the candidate agent.
39. An automated microscopy system programmed to operate according to a method selected from the methods of claims 1, 11, 17, 20, 25, 28, 31, 35 and 38.
40. An automated microscopy system comprising:~
a microscope, a plurality of controllers adapted to automate activity of said microscope, and a means for directing said controllers.
a microscope, a plurality of controllers adapted to automate activity of said microscope, and a means for directing said controllers.
41. The system of claim 40, wherein said microscope is an inverted microscope.
42. A computer-readable medium containing data representing image results produced in connection with a method chosen from the methods of claims 1, 11, 17, 20, 25, 28, 31, 35 and 38.
43. A computer-readable medium comprising at least a portion of a program a program to direct an automated microscopy system to perform a method selected from the methods of claims 1, 10, 11, 16, 17, 20, 25, 28, 31, 35, 38.
44. The computer-readable medium of claim 41, wherein the entirety of said program is provided.
45. A kit comprising the computer readable medium of claim 43 in packaged combination with instructions for use with the same.
46. The method of any of claims 1, 16, 17, 20, 25, 28, 35 or 38, wherein said biological material comprises a cell.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US33758501P | 2001-12-05 | 2001-12-05 | |
US60/337,585 | 2001-12-05 | ||
PCT/US2002/039033 WO2003048705A1 (en) | 2001-12-05 | 2002-12-05 | Robotic microscopy systems |
Publications (2)
Publication Number | Publication Date |
---|---|
CA2468861A1 true CA2468861A1 (en) | 2003-06-12 |
CA2468861C CA2468861C (en) | 2012-06-12 |
Family
ID=23321125
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA2468861A Expired - Lifetime CA2468861C (en) | 2001-12-05 | 2002-12-05 | Robotic microscopy systems |
Country Status (6)
Country | Link |
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US (1) | US7139415B2 (en) |
EP (1) | EP1461592B1 (en) |
JP (1) | JP4497923B2 (en) |
AU (1) | AU2002357791B9 (en) |
CA (1) | CA2468861C (en) |
WO (1) | WO2003048705A1 (en) |
Families Citing this family (128)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8885913B2 (en) | 1999-01-25 | 2014-11-11 | Amnis Corporation | Detection of circulating tumor cells using imaging flow cytometry |
US8005314B2 (en) | 2005-12-09 | 2011-08-23 | Amnis Corporation | Extended depth of field imaging for high speed object analysis |
US20060257884A1 (en) * | 2004-05-20 | 2006-11-16 | Amnis Corporation | Methods for preparing and analyzing cells having chromosomal abnormalities |
US8131053B2 (en) | 1999-01-25 | 2012-03-06 | Amnis Corporation | Detection of circulating tumor cells using imaging flow cytometry |
US8406498B2 (en) | 1999-01-25 | 2013-03-26 | Amnis Corporation | Blood and cell analysis using an imaging flow cytometer |
US7450229B2 (en) | 1999-01-25 | 2008-11-11 | Amnis Corporation | Methods for analyzing inter-cellular phenomena |
JP3076568B1 (en) * | 1999-07-15 | 2000-08-14 | 株式会社鈴木 | Drilling method for film for electronic parts |
AU2002213157A1 (en) | 2000-10-12 | 2002-04-22 | Amnis Corporation | System and method for high numeric aperture imaging systems |
US20040021911A1 (en) * | 2002-07-31 | 2004-02-05 | Corson John F. | Array scanner noise reduction system |
DE10256706A1 (en) * | 2002-12-04 | 2004-07-08 | Leica Microsystems Wetzlar Gmbh | Method for controlling an image recording and control device therefor |
US8597597B2 (en) | 2003-06-26 | 2013-12-03 | Seng Enterprises Ltd. | Picoliter well holding device and method of making the same |
US7888110B2 (en) * | 2003-06-26 | 2011-02-15 | Seng Enterprises Ltd. | Pico liter well holding device and method of making the same |
US9200245B2 (en) * | 2003-06-26 | 2015-12-01 | Seng Enterprises Ltd. | Multiwell plate |
US6873153B2 (en) * | 2003-07-07 | 2005-03-29 | Yeda Research And Development Co., Ltd. | Method and apparatus for acquiring multidimensional spectra and improved unidimensional spectra within a single scan |
GB2423151B (en) * | 2003-07-23 | 2007-05-09 | Essen Instr Inc | Examination systems for biological samples |
US7372985B2 (en) | 2003-08-15 | 2008-05-13 | Massachusetts Institute Of Technology | Systems and methods for volumetric tissue scanning microscopy |
JP4546741B2 (en) * | 2004-01-08 | 2010-09-15 | オリンパス株式会社 | Fluorescence microscope |
JP3803673B2 (en) * | 2004-02-02 | 2006-08-02 | オリンパス株式会社 | Measuring method and measuring device |
CA2596101A1 (en) | 2004-03-16 | 2005-09-29 | Amnis Corporation | Method for imaging and differential analysis of cells |
US8150136B2 (en) * | 2004-03-16 | 2012-04-03 | Amnis Corporation | Image based quantitation of molecular translocation |
US8953866B2 (en) | 2004-03-16 | 2015-02-10 | Amnis Corporation | Method for imaging and differential analysis of cells |
JP4405837B2 (en) * | 2004-03-19 | 2010-01-27 | ヤマト科学株式会社 | Tissue sample analyzer |
US7394943B2 (en) * | 2004-06-30 | 2008-07-01 | Applera Corporation | Methods, software, and apparatus for focusing an optical system using computer image analysis |
EP1774024A4 (en) * | 2004-07-02 | 2012-04-04 | Blueshift Biotechnologies Inc | Exploring fluorophore microenvironments |
US7403647B2 (en) * | 2004-09-13 | 2008-07-22 | Seng Enterprises Ltd. | Method for identifying an image of a well in an image of a well-bearing component |
FI20040958A (en) * | 2004-07-09 | 2006-01-10 | Chip Man Technologies Oy | Method and apparatus for biological analysis |
JP4752208B2 (en) * | 2004-07-23 | 2011-08-17 | 株式会社ニコン | Optical microscope system and sample moving image generation method using the same |
US7490009B2 (en) * | 2004-08-03 | 2009-02-10 | Fei Company | Method and system for spectroscopic data analysis |
US8064661B2 (en) * | 2004-11-09 | 2011-11-22 | Kaneka Corporation | Cell culture device, image processing device and cell detecting system |
ES2352344T3 (en) | 2005-01-25 | 2011-02-17 | Seng Enterprises Limited | MICROFLUID DEVICE FOR CELL STUDY. |
JP4590601B2 (en) * | 2005-03-08 | 2010-12-01 | 独立行政法人物質・材料研究機構 | Library analyzer |
EP2703871A3 (en) | 2005-05-25 | 2014-09-03 | Massachusetts Institute Of Technology | Multifocal scanning microscopy systems and methods |
US7718131B2 (en) * | 2005-07-06 | 2010-05-18 | Genetix Limited | Methods and apparatus for imaging and processing of samples in biological sample containers |
JP2008052227A (en) * | 2005-09-15 | 2008-03-06 | Olympus Corp | Observation apparatus |
JP2007085927A (en) * | 2005-09-22 | 2007-04-05 | Olympus Corp | Method of imaging biological information, method and device for imaging interaction in vivo, program for executing device, software, analytical method, and reagent kit |
WO2007052245A1 (en) | 2005-11-03 | 2007-05-10 | Seng Enterprises Ltd. | Method and device for studying floating, living cells |
JP5307539B2 (en) * | 2006-05-31 | 2013-10-02 | オリンパス株式会社 | Biological sample imaging method and biological sample imaging apparatus |
JP4431549B2 (en) * | 2006-05-31 | 2010-03-17 | 株式会社日立ハイテクノロジーズ | Fluorescence analyzer |
JP5168819B2 (en) * | 2006-06-02 | 2013-03-27 | 日産自動車株式会社 | Semiconductor package and manufacturing method thereof |
JP5157901B2 (en) * | 2006-06-08 | 2013-03-06 | 株式会社ニコン | Observation device |
KR20090074155A (en) * | 2006-08-04 | 2009-07-06 | 아이코니시스 인코포레이티드 | Image processing method for a microscope system |
JP5021254B2 (en) * | 2006-09-06 | 2012-09-05 | オリンパス株式会社 | Control method of microscope apparatus, microscope apparatus |
WO2008034868A2 (en) | 2006-09-22 | 2008-03-27 | Aviso Gmbh | Method and device for the automatic removal of cells and/or cell colonies |
US9557217B2 (en) | 2007-02-13 | 2017-01-31 | Bti Holdings, Inc. | Universal multidetection system for microplates |
JP5531378B2 (en) * | 2007-02-28 | 2014-06-25 | 株式会社ニコン | Incubator and incubator schedule management method |
JP4853358B2 (en) * | 2007-03-30 | 2012-01-11 | 株式会社日立プラントテクノロジー | Luminescence measuring device |
WO2008153836A2 (en) * | 2007-05-31 | 2008-12-18 | President And Fellows Of Harvard College | Target-locking acquisition with real-time confocal (tarc) microscopy |
WO2009016548A2 (en) | 2007-07-27 | 2009-02-05 | Koninklijke Philips Electronics N.V. | Method and system for imaging samples |
DE102007043741A1 (en) * | 2007-09-10 | 2009-03-12 | Eppendorf Ag | Optical sensor system on a device for the treatment of liquids |
US8326014B2 (en) * | 2007-09-28 | 2012-12-04 | Cytyc Corporation | Methods and systems for processing biological specimens utilizing multiple wavelengths |
US20090325211A1 (en) * | 2007-10-06 | 2009-12-31 | Ye Fang | System and method for dual-detection of a cellular response |
US9145540B1 (en) | 2007-11-15 | 2015-09-29 | Seng Enterprises Ltd. | Device for the study of living cells |
WO2009081409A2 (en) | 2007-12-26 | 2009-07-02 | Seng Enterprises Ltd. | Device for the study of living cells |
WO2009100404A2 (en) * | 2008-02-06 | 2009-08-13 | Fei Company | A method and system for spectrum data analysis |
JP5531379B2 (en) * | 2008-02-26 | 2014-06-25 | 株式会社ニコン | Incubator and incubator schedule management method |
CN102132495B (en) * | 2008-05-15 | 2015-04-29 | 皇家飞利浦电子股份有限公司 | Method and apparatus for compression and decompression of an image dataset |
JP4288323B1 (en) | 2008-09-13 | 2009-07-01 | 独立行政法人科学技術振興機構 | Microscope device and fluorescence observation method using the same |
GB2464747B (en) * | 2008-10-10 | 2013-05-15 | Hai Kang Life Corp Ltd | Method for detection of analyte in microarray of samples and apparatus for performing such method |
EP3370060B1 (en) | 2008-10-21 | 2023-06-07 | ChemoMetec A/S | Apparatus and method for illuminating a sample |
US8642352B2 (en) * | 2009-02-06 | 2014-02-04 | California Institute Of Technology | Methods and systems for detection of stoichiometry by Förster resonance energy transfer |
FR2942899B1 (en) * | 2009-03-03 | 2011-09-23 | Jose Balbuena | DEVICE AND METHOD FOR OPTICALLY ANALYZING DOCUMENTS |
DE102009012707A1 (en) | 2009-03-11 | 2010-09-16 | Carl Zeiss Microlmaging Gmbh | Microscope with several optical systems in the imaging beam path |
US8300965B2 (en) * | 2009-03-24 | 2012-10-30 | General Electric Company | Methods and apparatus to perform multi-focal plane image acquisition and compression |
JP5364430B2 (en) * | 2009-04-22 | 2013-12-11 | オリンパス株式会社 | Cell image acquisition apparatus and cell image acquisition method |
JP4982523B2 (en) * | 2009-05-11 | 2012-07-25 | 株式会社日立ハイテクノロジーズ | Fluorescence analysis method, fluorescence analysis apparatus and image detection method |
US20100295782A1 (en) | 2009-05-21 | 2010-11-25 | Yehuda Binder | System and method for control based on face ore hand gesture detection |
JP5409120B2 (en) * | 2009-05-27 | 2014-02-05 | キヤノン株式会社 | Correction method, apparatus, and device manufacturing method |
CA2761231C (en) * | 2009-08-22 | 2021-07-13 | The Board Of Trustees Of The Leland Stanford Junior University | Imaging and evaluating embryos, oocytes, and stem cells |
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 |
US8817115B1 (en) | 2010-05-05 | 2014-08-26 | Amnis Corporation | Spatial alignment of image data from a multichannel detector using a reference image |
US8971632B2 (en) * | 2010-08-19 | 2015-03-03 | Sharp Laboratories Of America, Inc. | System for feature detection for low contrast images |
WO2012047678A2 (en) | 2010-09-27 | 2012-04-12 | Auxogyn, Inc. | Apparatus, method, and system for the automated imaging and evaluation of embryos, oocytes, and stem cells |
US20150293026A1 (en) * | 2010-10-15 | 2015-10-15 | Dong-Guk Shin | Automated system for tissue histomorphometry |
JP2012118126A (en) * | 2010-11-29 | 2012-06-21 | Olympus Corp | Observation device and observation method |
JP5821206B2 (en) * | 2011-02-09 | 2015-11-24 | 株式会社ニコン | Observation apparatus, image observation method, and subject |
CN103460038A (en) | 2011-02-23 | 2013-12-18 | 里兰斯坦福初级大学理事会 | Methods of detecting aneuploidy in human embryos |
US8339586B2 (en) | 2011-04-15 | 2012-12-25 | Constitution Medical, Inc. | Measuring volume and constituents of cells |
FI20115483A0 (en) * | 2011-05-19 | 2011-05-19 | Wallac Oy | Measuring Instruments |
US10466160B2 (en) | 2011-08-01 | 2019-11-05 | Celsee Diagnostics, Inc. | System and method for retrieving and analyzing particles |
US9404864B2 (en) * | 2013-03-13 | 2016-08-02 | Denovo Sciences, Inc. | System for imaging captured cells |
US9103754B2 (en) | 2011-08-01 | 2015-08-11 | Denovo Sciences, Inc. | Cell capture system and method of use |
JP5818080B2 (en) * | 2011-08-31 | 2015-11-18 | ソニー株式会社 | Image processing apparatus and method, recording medium, and program |
JP2013114042A (en) * | 2011-11-29 | 2013-06-10 | Sony Corp | Image acquisition device, image acquisition method and image acquisition program |
CH706326A2 (en) * | 2012-03-14 | 2013-09-30 | Tecan Trading Ag | Procedures and microplate readers for study of biological cells or cell cultures. |
CN103376249A (en) * | 2012-04-28 | 2013-10-30 | 易尚明天科技有限公司 | Ultraviolet point fluorescence scanner |
US8664595B2 (en) | 2012-06-28 | 2014-03-04 | Fei Company | Cluster analysis of unknowns in SEM-EDS dataset |
US9188555B2 (en) | 2012-07-30 | 2015-11-17 | Fei Company | Automated EDS standards calibration |
TW201415153A (en) | 2012-10-01 | 2014-04-16 | Ind Tech Res Inst | Autofocus system and autofocus method |
US9778215B2 (en) | 2012-10-26 | 2017-10-03 | Fei Company | Automated mineral classification |
US9091635B2 (en) | 2012-10-26 | 2015-07-28 | Fei Company | Mineral identification using mineral definitions having compositional ranges |
US9048067B2 (en) | 2012-10-26 | 2015-06-02 | Fei Company | Mineral identification using sequential decomposition into elements from mineral definitions |
US8937282B2 (en) | 2012-10-26 | 2015-01-20 | Fei Company | Mineral identification using mineral definitions including variability |
WO2014093838A2 (en) * | 2012-12-14 | 2014-06-19 | The J. David Gladstone Institutes | Automated robotic microscopy systems |
WO2014097991A1 (en) * | 2012-12-18 | 2014-06-26 | コニカミノルタ株式会社 | Rare cell detection apparatus, rare cell detection method, rare cell observation system, and cell mass expansion device |
US9194829B2 (en) | 2012-12-28 | 2015-11-24 | Fei Company | Process for performing automated mineralogy |
US10241108B2 (en) | 2013-02-01 | 2019-03-26 | Ares Trading S.A. | Abnormal syngamy phenotypes observed with time lapse imaging for early identification of embryos with lower development potential |
US10133053B2 (en) * | 2013-04-30 | 2018-11-20 | Molecular Devices, Llc | Apparatus and method for generating in-focus images using parallel imaging in a microscopy system |
WO2015022781A1 (en) * | 2013-08-15 | 2015-02-19 | コニカミノルタ株式会社 | Cell detection method and cell detection device |
GB201318919D0 (en) | 2013-10-25 | 2013-12-11 | Isis Innovation | Compact microscope |
US9714908B2 (en) | 2013-11-06 | 2017-07-25 | Fei Company | Sub-pixel analysis and display of fine grained mineral samples |
WO2015104763A1 (en) * | 2014-01-07 | 2015-07-16 | ソニー株式会社 | Analysis system, analysis program, and analysis method |
JP6510539B2 (en) | 2014-01-09 | 2019-05-08 | ザ ジェイ. デヴィッド グラッドストーン インスティテューツ, ア テスタメンタリー トラスト エスタブリッシュド アンダー ザ ウィル オブ ジェイ. デヴィッド グラッドストーン | Substituted benzoxazines and related compounds |
DE102014003145A1 (en) | 2014-03-04 | 2015-09-10 | Carl Zeiss Microscopy Gmbh | Method for correcting spherical aberration in microscopic applications |
WO2016145366A1 (en) | 2015-03-11 | 2016-09-15 | Timothy Ragan | System and methods for serial staining and imaging |
US10755078B2 (en) | 2015-04-10 | 2020-08-25 | President And Fellows Of Harvard College | Methods and devices for live cell imaging analysis |
GB201507021D0 (en) | 2015-04-24 | 2015-06-10 | Isis Innovation | Compact microscope |
US9939623B2 (en) * | 2015-10-19 | 2018-04-10 | Molecular Devices, Llc | Microscope system with transillumination-based autofocusing for photoluminescence imaging |
WO2017154209A1 (en) | 2016-03-11 | 2017-09-14 | 株式会社ニコン | Evaluation device, observation device, and program |
EP3507768B1 (en) | 2016-08-31 | 2020-09-30 | Molecular Devices, LLC | System and method for template-based image analysis |
DE102016120726A1 (en) * | 2016-10-28 | 2018-05-03 | Als Automated Lab Solutions Gmbh | Apparatus and method for treating biological cell-containing samples, in particular blood or cell samples |
WO2019003274A1 (en) | 2017-06-26 | 2019-01-03 | オリンパス株式会社 | Cell observation system |
CN110869485A (en) * | 2017-06-26 | 2020-03-06 | 奥林巴斯株式会社 | Cell observation system |
JP6980904B2 (en) | 2017-08-29 | 2021-12-15 | バイオ−ラッド ラボラトリーズ インコーポレイテッド | Systems and methods for isolating and analyzing cells |
JPWO2019044408A1 (en) * | 2017-08-31 | 2020-02-27 | 富士フイルム株式会社 | Image processing apparatus, method and program |
GB201808312D0 (en) | 2018-05-21 | 2018-07-11 | Governing Council Of The Univ Of Toronto | A method for automated non-invasive measurement of sperm motility and morphology and automated selection of a sperm with high dna integrity |
JP7337937B2 (en) | 2019-01-22 | 2023-09-04 | アプライド マテリアルズ インコーポレイテッド | Magnified Image Acquisition and Storage |
CN109784324B (en) * | 2019-02-25 | 2023-08-04 | 广州牛顿光学研究院有限公司 | Method for counting cells by mechanical automatic control box |
WO2020186029A1 (en) | 2019-03-14 | 2020-09-17 | Applied Materials, Inc. | Identifying fiducial markers in microscope images |
US11255785B2 (en) | 2019-03-14 | 2022-02-22 | Applied Materials, Inc. | Identifying fiducial markers in fluorescence microscope images |
JPWO2020202701A1 (en) * | 2019-03-29 | 2021-12-23 | 富士フイルム株式会社 | Cell evaluation device, operation method of cell evaluation device, operation program of cell evaluation device, and cell culture system |
US10633693B1 (en) | 2019-04-16 | 2020-04-28 | Celsee Diagnostics, Inc. | System and method for leakage control in a particle capture system |
US11273439B2 (en) | 2019-05-07 | 2022-03-15 | Bio-Rad Laboratories, Inc. | System and method for target material retrieval from microwells |
US11161109B2 (en) | 2019-09-19 | 2021-11-02 | Invidx Corp. | Point-of-care testing cartridge with sliding cap |
US11327084B2 (en) * | 2019-09-19 | 2022-05-10 | Invidx Corp. | Joint hematology and biochemistry point-of-care testing system |
CN114556413A (en) | 2019-09-24 | 2022-05-27 | 应用材料公司 | Interactive training of machine learning models for tissue segmentation |
JP7420950B2 (en) | 2019-12-17 | 2024-01-23 | アプライド マテリアルズ インコーポレイテッド | Systems and methods for acquiring and processing multiplex fluorescence in situ hybridization images |
WO2022159116A1 (en) * | 2021-01-25 | 2022-07-28 | Hewlett-Packard Development Company, L.P. | Single point sensing |
CN113109352A (en) * | 2021-04-07 | 2021-07-13 | 桂林电子科技大学 | Raw silk quality detection method and device based on machine vision |
Family Cites Families (42)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4000417A (en) * | 1975-08-25 | 1976-12-28 | Honeywell Inc. | Scanning microscope system with automatic cell find and autofocus |
US4012112A (en) * | 1975-08-25 | 1977-03-15 | Honeywell Inc. | Microscope stage positioning system |
JPS53135697A (en) * | 1977-04-30 | 1978-11-27 | Olympus Optical Co Ltd | Automatic cell diagnosis apparatus |
US4513438A (en) * | 1982-04-15 | 1985-04-23 | Coulter Electronics, Inc. | Automated microscopy system and method for locating and re-locating objects in an image |
JPS60205411A (en) * | 1984-03-29 | 1985-10-17 | Olympus Optical Co Ltd | Inverted type microscope |
US5109429A (en) * | 1985-11-04 | 1992-04-28 | Cell Analysis Systems,Inc. | Apparatus and method for analyses of biological specimens |
US4705949A (en) * | 1985-11-25 | 1987-11-10 | The United States Of America As Represented By The Secretary Of Commerce | Method and apparatus relating to specimen cells for scanning electron microscopes |
US4833382A (en) * | 1986-06-06 | 1989-05-23 | Gibbs David L | Method and apparatus for use in microscope investigations |
JPS63167313A (en) * | 1986-12-27 | 1988-07-11 | Hitachi Ltd | Automatic focus control method |
US4974952A (en) * | 1988-03-31 | 1990-12-04 | Focht Daniel C | Live cell chamber for microscopes |
DE3828381C2 (en) * | 1988-08-20 | 1997-09-11 | Zeiss Carl Fa | Method and device for automatically focusing an optical system |
US5073857A (en) * | 1989-06-01 | 1991-12-17 | Accuron Corporation | Method and apparatus for cell analysis |
US5480804A (en) * | 1989-06-28 | 1996-01-02 | Kirin Beverage Corporation | Method of and apparatus for detecting microorganisms |
US5991028A (en) * | 1991-02-22 | 1999-11-23 | Applied Spectral Imaging Ltd. | Spectral bio-imaging methods for cell classification |
CA2077781A1 (en) * | 1991-09-23 | 1993-03-24 | James W. Bacus | Method and apparatus for automated assay of biological specimens |
JP2726346B2 (en) * | 1991-12-25 | 1998-03-11 | 佐原 今朝徳 | Automatic focusing mechanism of surgical microscope |
US5459577A (en) * | 1992-06-01 | 1995-10-17 | Nikon Corporation | Method of and apparatus for measuring pattern positions |
US5594235A (en) * | 1993-06-17 | 1997-01-14 | Ultrapointe Corporation | Automated surface acquisition for a confocal microscope |
US5574594A (en) * | 1993-11-05 | 1996-11-12 | Nikon Inc. | Automated microscope slide marking device |
JPH07318807A (en) * | 1994-05-19 | 1995-12-08 | Nikon Corp | Automatic microscope |
US6483948B1 (en) * | 1994-12-23 | 2002-11-19 | Leica Ag | Microscope, in particular a stereomicroscope, and a method of superimposing two images |
US6319668B1 (en) * | 1995-04-25 | 2001-11-20 | Discovery Partners International | Method for tagging and screening molecules |
IT1274405B (en) * | 1995-04-28 | 1997-07-17 | San Raffaele Centro Fond | AUTOMATIC MICROSCOPE HEAD POSITIONING AND CENTERING DEVICE |
EP0839336A1 (en) * | 1995-07-19 | 1998-05-06 | Morphometrix Technologies Inc. | Automated scanning of microscope slides |
US6005964A (en) * | 1996-01-24 | 1999-12-21 | The Board Of Trustees Of The University Of Illinois | Automatic machine vision microscope slide inspection system and method |
DE19616997A1 (en) * | 1996-04-27 | 1997-10-30 | Boehringer Mannheim Gmbh | Process for automated microscope-assisted examination of tissue or body fluid samples |
DE19709348C2 (en) * | 1996-05-29 | 1999-07-01 | Schubert Walter Dr Md | Automatic multi-epitope ligand mapping process |
US6031930A (en) * | 1996-08-23 | 2000-02-29 | Bacus Research Laboratories, Inc. | Method and apparatus for testing a progression of neoplasia including cancer chemoprevention testing |
WO1998051810A1 (en) | 1997-05-13 | 1998-11-19 | University Of North Carolina At Chapel Hill | Lentivirus-based gene transfer vectors |
US6517781B1 (en) * | 1997-06-02 | 2003-02-11 | Aurora Biosciences Corporation | Low fluorescence assay platforms and related methods for drug discovery |
WO2000000600A2 (en) | 1997-09-22 | 2000-01-06 | Chang Lung Ji | Lentiviral vectors, comprising modified major donor splice sites and major packaging signals |
AU1097299A (en) * | 1997-10-17 | 1999-05-10 | Accumed International, Inc. | High-precision computer-aided microscope system |
US6285498B1 (en) * | 1997-10-17 | 2001-09-04 | Accumed International, Inc. | High-precision computer-aided microscope system |
JP4322971B2 (en) * | 1998-01-06 | 2009-09-02 | オリンパス株式会社 | Autofocus device for microscope |
JPH11344675A (en) * | 1998-05-29 | 1999-12-14 | Nikon Corp | Inverted microscope |
JP2000162506A (en) * | 1998-11-30 | 2000-06-16 | Tokyo Seimitsu Co Ltd | Confocal microscope |
US6130745A (en) * | 1999-01-07 | 2000-10-10 | Biometric Imaging, Inc. | Optical autofocus for use with microtiter plates |
US6986993B1 (en) * | 1999-08-05 | 2006-01-17 | Cellomics, Inc. | System for cell-based screening |
IL147793A0 (en) * | 1999-08-05 | 2002-08-14 | Cellomics Inc | Optical system analysis of cells |
JP3736278B2 (en) * | 2000-04-12 | 2006-01-18 | 松下電器産業株式会社 | How to observe biochemical substances |
JP2001305058A (en) * | 2000-04-26 | 2001-10-31 | Hitachi Ltd | Chemical analyzer |
US6818403B2 (en) * | 2000-11-08 | 2004-11-16 | Surface Logix, Inc. | Method of monitoring haptotaxis |
-
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- 2002-12-05 US US10/313,942 patent/US7139415B2/en active Active
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