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1. WO2020081340 - IMAGE ENHANCEMENT TO ENABLE IMPROVED NUCLEI DETECTION AND SEGMENTATION

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

Claims

1. A method of enhancing detection of cell nuclei within an image of a stained biological sample comprising:

(a) obtaining one or more input image channel images, wherein each obtained input image channel image comprises signals corresponding to one of a membrane stain or a nuclear stain;

(b) enhancing the signals corresponding to the membrane stain or the nuclear stain in a first of the one or more obtained input channel images by applying a Frangi filter to the first of the one or more obtained input channel images to provide a first enhanced image;

(c) generating a refined image based at least upon the first enhanced image; and

(d) detecting nuclei within the generated refined image.

2. The method of claim 1, wherein the refined image is generated by thresholding the first enhanced image.

3. The method of any of the preceding claims, wherein the refined image is generated by: (i) combining the first enhanced image with at least a second image to provide a

combination image; and (ii) thresholding the combination image.

4. The method of claim 3, wherein the second image is a second of the one or more input channel images.

5. The method of claim 4, wherein the second of the one or more input channel images is different than the first of the one or more input channel images.

6. The method of claim 3, wherein the second image is a second enhanced image.

7. The method of claim 6, wherein the second enhanced image is derived from a second of the one or more input channel images.

8. The method of claim 6, wherein the second enhanced image is a derived from the first of the one or more input channel images, and wherein first and second enhanced images are generated by applying the Frangi filter at a different scaling factor.

9. The method of claim 7, wherein both the first and second of the one or more input

channel images comprise a membrane stain.

10. The method of claim 9, wherein the membrane stain is selected from the group consisting of a tumor membrane stain and a lymphocyte membrane stain.

11. The method of claim 7, wherein one of the first and second of the one or more input channel images comprises a nuclear stain.

12. The method of claim 3, wherein the combination image is derived from at least the first enhanced image, the second image, and a third image.

13. The method of claim 12, wherein at least one of the second image or the third image has been enhanced by application of the Frangi filter.

14. The method of claim 12, wherein the second image comprises a membrane stain and wherein the third image comprises a nuclear stain.

15. The method of claim 14, wherein the combination image is further derived from a fourth image.

16. The method of any of the preceding claims, wherein the refined image is a combination image derived by combining an inverse of the first enhanced image and at least a second image.

17. The method of claim 16, wherein one of the first enhanced image or the second image comprises a nuclear stain.

18. The method of claim 16, wherein the at least the second image is a second of the one or more input channel images.

19. The method of claim 17, wherein the second of the one or more input channel images comprises a nuclear stain, and wherein the first of the one or more input channel images comprises a membrane stain.

20. The method of claim 19, wherein the membrane stain is DAB and wherein the nuclear stain is hematoxylin.

21. The method of any of the preceding claims, wherein the obtained input channel images are unmixed brightfield images or darkfield images.

22. A system for enhancing detection of cell nuclei within an image of a stained biological sample, the system comprising: (i) one or more processors, and (ii) one or more memories coupled to the one or more processors, the one or more memories to store computer-executable instructions that, when executed by the one or more processors, cause the system to perform operations comprising:

(a) obtaining one or more input image channel images, wherein each obtained input image channel image comprises signals corresponding to a membrane stain or a nuclear stain;

(b) enhancing the signals corresponding to the membrane stain or nuclear stain in a first of the one or more obtained input channel images by applying a Frangi filter to the first of the one or more obtained input channel images to provide a first enhanced image;

(c) generating a refined image based at least upon the first enhanced image; and

(d) detecting nuclei within the generated refined image.

23. The system of claim 22, wherein the first of the one or more obtained input channel images comprises a membrane stain.

24. The system of claim 23, wherein the refined image is generated by combining (i) the first enhanced image or a further processed variant thereof, and (ii) a second of the one or more obtained input channel images, wherein the second of the one or more obtained input channel images comprises a nuclear stain.

25. The system of claim 23, further comprising instructions for generating a second enhanced image from a second of the one or more obtained input channel images.

26. The system of claim 25, wherein the refined image is generated by (a) computing a

combination image, the combination image derived at least from the first enhanced image and the second enhanced image, and (b) applying a threshold to the computed

combination image.

27. The system of claim 25, wherein the second of the one or more obtained input channel images comprises membrane staining.

28. The system of claim 25, wherein the second of the one or more obtained input channel images comprises nuclear staining.

29. The system of claim 27, wherein the combination is derived from the first and second enhanced images and at least a third enhanced image, the third enhanced image comprising signals corresponding to a nuclear stain.

30. The system of any one of claims 22 - 29, wherein the refined image is generated by

thresholding the first enhanced image.

31. A non-transitory computer-readable medium storing instructions for enhancing detection of cell nuclei within an image of a stained biological sample comprising:

(a) obtaining one or more input image channel images, wherein each obtained input image channel image comprises signals corresponding to one of a membrane stain or a nuclear stain;

(b) enhancing the signals corresponding to the membrane stain or the nuclear stain in a first of the one or more obtained input channel images by applying a filter adapted to enhance boundary structures to the first of the one or more obtained input channel images to provide a first enhanced image;

(c) generating a combination image based at least upon the first enhanced image; and

(d) detecting nuclei within the generated combination image or a segmentation mask image derived from the generated combination image.

32. The non-transitory computer-readable medium of claim 31, wherein the combination image is generated by computing a summation of (i) the first enhanced image or a further processed variant thereof, and (ii) at least a second image.

33. The non-transitory computer-readable medium of claim 32, wherein the second image is a second of the one or more obtained input channel images.

34. The non-transitory computer-readable medium of claim 33, wherein the first of the one or more obtained input channel images comprises a membrane stain, and wherein the second of the one or more obtained input channel images comprises a nuclear stain.

35. The non-transitory computer-readable medium of claim 34, wherein the combination image is derived from an inverse of the first enhanced image.