System and Method For Quality Assurance in Pathology
US-2015379327-A1 · Dec 31, 2015 · US
US9349036B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9349036-B2 |
| Application number | US-201514841548-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 31, 2015 |
| Priority date | May 4, 2007 |
| Publication date | May 24, 2016 |
| Grant date | May 24, 2016 |
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Enhancing color(s) in a digital slide image to increase contrast. In an embodiment, a digital slide image of a tissue sample is acquired. The tissue sample is counterstained, such that the digital slide image comprises an image of a first stain and a second stain. The contrast between the first stain and the second stain is increased to enhance the digital slide image.
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The invention claimed is: 1. A method comprising using at least one hardware processor to: acquire a digital slide image of a tissue sample that is counterstained with at least a first stain and a second stain, such that the digital slide image comprises an image of the first stain and the second stain; and increase a contrast between the first stain and the second stain within the digital slide image to enhance the digital slide image. 2. The method of claim 1 , wherein increasing the contrast between the first stain and the second stain comprises changing a color of at least one of the first stain and the second stain. 3. The method of claim 1 , further comprising using the at least one hardware processor to, prior to increasing the contrast, automatically determine whether or not a quality of the digital slide image is sufficient for diagnosis. 4. The method of claim 3 , wherein determining whether or not a quality of the digital slide image is sufficient for diagnosis comprises comparing one or more characteristics of the digital slide image to a predetermined set of one or more criteria. 5. The method of claim 3 , wherein increasing the contrast is performed automatically when the determination is that the quality of the digital slide image is sufficient. 6. The method of claim 1 , further comprising using the at least one hardware processor to input the enhanced digital slide image into a clinical decision support system that guides a user through an interpretation of the tissue sample to arrive at a diagnosis. 7. A system comprising: at least one hardware processor; and one or more software modules that, when executed by the at least one hardware processor, acquire a digital slide image of a tissue sample that is counterstained with at least a first stain and a second stain, such that the digital slide image comprises an image of the first stain and the second stain, and increase a contrast between the first stain and the second stain within the digital slide image to enhance the digital slide image. 8. The system of claim 7 , wherein increasing the contrast between the first stain and the second stain comprises changing a color of at least one of the first stain and the second stain. 9. The system of claim 7 , wherein the one or more software modules, prior to increasing the contrast, automatically determine whether or not a quality of the digital slide image is sufficient for diagnosis. 10. The system of claim 9 , wherein determining whether or not a quality of the digital slide image is sufficient for diagnosis comprises comparing one or more characteristics of the digital slide image to a predetermined set of one or more criteria. 11. The system of claim 9 , wherein the one or more software modules increase the contrast automatically when the determination is that the quality of the digital slide image is sufficient. 12. The system of claim 7 , wherein the one or more software modules input the enhanced digital slide image into a clinical decision support system that guides a user through an interpretation of the tissue sample to arrive at a diagnosis. 13. The system of claim 7 , wherein the at least one hardware processor is comprised in a slide scanner. 14. The system of claim 13 , wherein the one or more software modules are stored in a memory of the slide scanner. 15. A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to: acquire a digital slide image of a tissue sample that is counterstained with at least a first stain and a second stain, such that the digital slide image comprises an image of the first stain and the second stain; and increase a contrast between the first stain and the second stain within the digital slide image to enhance the digital slide image. 16. The non-transitory computer-readable medium of claim 15 , wherein increasing the contrast between the first stain and the second stain comprises changing a color of at least one of the first stain and the second stain. 17. The non-transitory computer-readable medium of claim 15 , wherein the instructions further cause the processor to, prior to increasing the contrast, automatically determine whether or not a quality of the digital slide image is sufficient for diagnosis. 18. The non-transitory computer-readable medium of claim 17 , wherein determining whether or not a quality of the digital slide image is sufficient for diagnosis comprises comparing one or more characteristics of the digital slide image to a predetermined set of one or more criteria. 19. The non-transitory computer-readable medium of claim 17 , wherein the instructions cause the processor to increase the contrast automatically when the determination is that the quality of the digital slide image is sufficient. 20. The non-transitory computer-readable medium of claim 15 , wherein the instructions further cause the processor to input the enhanced digital slide image into a clinical decision support system that guides a user through an interpretation of the tissue sample to arrive at a diagnosis.
with the intervention of an operator · CPC title
Control or image processing arrangements for digital or video microscopes (G02B21/361, G02B21/362 take precedence) · CPC title
Color image · CPC title
Microscopic image · CPC title
Physics · mapped topic
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