IP Library Granted Patent US 10,032,064
Granted Patent B2
US 10,032,064 · App. 13/972,119 · Granted Jul 24, 2018

Visualization and measurement of cell compartments

Inventor: Clifford C. Hoyt (Wellesley, MA)
Assignee: Cambridge Research & Instrumentation, Inc.
G06K9/00127G01N1/30G01N21/6428G01N21/6456G02B21/365G06T7/90G01N21/6458G01N2021/6417G01N2021/6441G01N2021/6471G06T2207/10016G06T2207/10024G06T2207/10056G06T2207/10064G06T2207/10152G06T2207/30024
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Quick Facts
Patent No.
US 10,032,064
App. No.
13/972,119
Granted
Jul 24, 2018
Kind
B2
Abstract

The disclosure features methods and systems that include a detector configured to obtain multiple images of a sample stained with first and second stains, where the first and second stains have similar spectral absorption and emission profiles, and an electronic processor configured to decompose the multiple images into an unmixed image set, where the unmixed image set includes a first unmixed image corresponding to the first stain and a second unmixed image corresponding to the second stain, and identify nuclear regions in the sample based on the first unmixed image and identify cytoplasm regions in the sample based on the second unmixed image.

Claims (54)

1. A system, comprising:

a detector configured to obtain multiple images of a sample stained with first and second counterstains, wherein the first and second counterstains have similar spectral absorption and emission profiles; and

an electronic processor configured to:

decompose the multiple images into an unmixed image set, wherein the unmixed image set comprises a first unmixed image corresponding to the first counterstain and a second unmixed image corresponding to the second counterstain; and

identify nuclear regions in the sample based on the first unmixed image and identify cytoplasm regions in the sample based on the second unmixed image.

2. The system of claim 1 , wherein the electronic processor is further configured to generate an image of the sample, and wherein the nuclear and cytoplasm regions in the image are colored in the same manner as if the sample was stained with hematoxylin and eosin.

3. The system of claim 1 , wherein the sample comprises one or more immunofluorescent probes, and wherein the unmixed image set comprises unmixed images that each correspond to contributions from only one of the immunofluorescent probes.

4. The system of claim 3 , wherein the electronic processor is further configured to determine an amount of at least some of the immunofluorescent probes in the nuclear and cytoplasm regions in the sample.

5. The system of claim 3 , wherein the sample comprises at least three immunofluorescent probes.

6. The system of claim 3 , wherein the sample comprises at least five immunofluorescent probes.

7. The system of claim 1 , wherein the multiple images comprise fluorescence images.

8. The system of claim 1 , wherein the second stain is CellMask Blue.

9. The system of claim 8 , wherein the first stain is DAPI.

10. The system of claim 8 , wherein the first stain is Hoechst 33258.

11. The system of claim 1 , wherein the multiple images define an image cube.

12. The system of claim 1 , wherein each of the multiple images corresponds to a fluorescence image of the sample for a different corresponding range of fluorescence wavelengths.

13. The system of claim 1 , further comprising a multi-spectral imaging system coupled to the detector, wherein the multi-spectral imaging system is configured to illuminate the sample to obtain the multiple images.

14. A method, comprising:

applying at least two counterstains to a sample, wherein the at least two counterstains have similar spectral absorption and emission profiles; and

using an electronic processor to:

obtain multiple images of the sample;

obtain a first unmixed image corresponding to a first one of the counterstains and a second unmixed image corresponding to a second one of the counterstains; and

identify nuclear regions in the sample based on the first unmixed image and identify cytoplasm regions in the sample based on the second unmixed image.

15. The method of claim 14 , further comprising using the electronic processor to:

decompose the multiple images into an unmixed image set, wherein the unmixed image set comprises the first unmixed image and the second unmixed image.

16. The method of claim 15 , further comprising using the electronic processor to generate an image of the sample, wherein the nuclear and cytoplasm regions in the image are colored in the same manner as if the sample was stained with hematoxylin and eosin.

17. The method of claim 15 , wherein the sample comprises one or more immunofluorescent probes, and wherein the unmixed image set comprises unmixed images that each correspond to contributions from only one of the immunofluorescent probes.

18. The method of claim 17 , further comprising using the electronic processor to determine an amount of at least some of the immunofluorescent probes in the nuclear and cytoplasm regions in the sample.

19. The method of claim 17 , wherein the sample comprises at least three immunofluorescent probes.

20. The method of claim 17 , wherein the sample comprises at least five immunofluorescent probes.

21. The method of claim 15 , wherein the multiple images comprise fluorescence images.

22. The method of claim 14 , wherein the at least two stains comprise CellMask Blue and DAPI.

23. The method of claim 14 , wherein the at least two stains comprise CellMask Blue and Hoechst 33258.

24. The method of claim 14 , wherein the multiple images define an image cube.

25. The method of claim 14 , wherein each of the multiple images corresponds to a fluorescence image of the sample for a different corresponding range of fluorescence wavelengths.

26. A system, comprising:

a detector configured to obtain multiple images of a sample stained with first and second stains, wherein the first stain comprises DAPI or Hoeschst 33258 and the second stain comprises CellMask Blue; and

an electronic processor configured to:

decompose the multiple images into an unmixed image set, wherein the unmixed image set comprises a first unmixed image corresponding to the first stain and a second unmixed image corresponding to the second stain; and

identify nuclear regions in the sample based on the first unmixed image and identify cytoplasm regions in the sample based on the second unmixed image.

27. The system of claim 26 , wherein the electronic processor is further configured to generate an image of the sample, and wherein the nuclear and cytoplasm regions in the image are colored in the same manner as if the sample was stained with hematoxylin and eosin.

28. The system of claim 26 , wherein the sample comprises one or more immunofluorescent probes, and wherein the unmixed image set comprises unmixed images that each correspond to contributions from only one of the immunofluorescent probes.

29. The system of claim 28 , wherein the electronic processor is further configured to determine an amount of at least some of the immunofluorescent probes in the nuclear and cytoplasm regions in the sample.

30. A method, comprising:

applying at least two stains to a sample, wherein the first stain comprises DAPI or Hoeschst 33258 and the second stain comprises CellMask Blue; and

using an electronic processor to:

obtain multiple images of the sample;

obtain a first unmixed image corresponding to the first stain and a second unmixed image corresponding to the second stain; and

identify nuclear regions in the sample based on the first unmixed image and identify cytoplasm regions in the sample based on the second unmixed image.

31. The method of claim 30 , further comprising using an electronic processor to:

decompose the multiple images into an unmixed image set, wherein the unmixed image set comprises the first unmixed image and the second unmixed image.

32. The method of claim 31 , further comprising using the electronic processor to generate an image of the sample, wherein the nuclear and cytoplasm regions in the image are colored in the same manner as if the sample was stained with hematoxylin and eosin.

33. The method of claim 31 , wherein the sample comprises one or more immunofluorescent probes, and wherein the unmixed image set comprises unmixed images that each correspond to contributions from only one of the immunofluorescent probes.

34. The method of claim 33 , further comprising using the electronic processor to determine an amount of at least some of the immunofluorescent probes in the nuclear and cytoplasm regions in the sample.

Assignments (7)
RELEASE OF SECURITY INTEREST Recorded Jul 11, 2025
From: MIDCAP FINANCIAL TRUST
To: AKOYA BIOSCIENCES, INC.
Reel/Frame 071893/0033 →
SECURITY INTEREST Recorded Jun 4, 2025
From: AKOYA BIOSCIENCES, INC.
To: MIDCAP FINANCIAL TRUST
Reel/Frame 071484/0056 →
RELEASE OF SECURITY INTEREST Recorded Nov 10, 2020
From: INNOVATUS LIFE SCIENCES LENDING FUND I, LP
To: AKOYA BIOSCIENCES, INC.
Reel/Frame 054327/0264 →
SECURITY INTEREST Recorded Nov 10, 2020
From: AKOYA BIOSCIENCES, INC.
To: MIDCAP FINANCIAL TRUST, AS AGENT
Reel/Frame 054327/0404 →
SECURITY INTEREST Recorded Oct 1, 2019
From: AKOYA BIOSCIENCES, INC.
To: INNOVATUS LIFE SCIENCES LENDING FUND I, LP
Reel/Frame 050582/0916 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 18, 2019
From: CALIPER LIFE SCIENCES, INC.; PERKINELMER HEALTH SCIENCES, INC.; CAMBRIDGE RESEARCH & INSTRUMENTATION, INC.
To: AKOYA BIOSCIENCES, INC.
Reel/Frame 048928/0335 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 26, 2013
From: HOYT, CLIFFORD C.
To: CAMBRIDGE RESEARCH & INSTRUMENTATION, INC.
Reel/Frame 031077/0805 →
Continuity (2)
Provisional Application 61691752 · Aug 21, 2012
Related Publication 20140056505A1 · Feb 27, 2014
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