2020
DOI: 10.1093/bioinformatics/btaa847
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Colour deconvolution: stain unmixing in histological imaging

Abstract: Motivation Microscopy images of stained cells and tissues play a central role in most biomedical experiments and routine histopathology. Storing colour histological images digitally opens the possibility to process numerically colour distribution and intensity to extract quantitative data. Among those numerical procedures is colour deconvolution, which enables decomposing an RGB image into channels representing the optical absorbance and transmittance of the dyes when their RGB representation… Show more

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Cited by 115 publications
(65 citation statements)
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“…Such a numerical evaluation allows for the reproducible evaluation of color information of histological and immunohistological stains. [ 64 ] Color deconvolution was performed in ImageJ (National Institutes of Health, USA, v1.52n). Images from three representative regions were analyzed for each sample (Figure S15a,b: Supporting Information).…”
Section: Methodsmentioning
confidence: 99%
“…Such a numerical evaluation allows for the reproducible evaluation of color information of histological and immunohistological stains. [ 64 ] Color deconvolution was performed in ImageJ (National Institutes of Health, USA, v1.52n). Images from three representative regions were analyzed for each sample (Figure S15a,b: Supporting Information).…”
Section: Methodsmentioning
confidence: 99%
“…Collagen deposition was determined on the trichrome-stained kidney sections. The positive area was quantitatively measured using NIH Image J 1.60 software as described previously 38,39 . For Glomerulosclerosis (GS, fibrotic glomeruli) score, it was done as follows: 0, no fibrosis; 1, fibrosis area <25%; 2, fibrosis area = 26-50%; 3, fibrosis area = 51-75%; and 4, fibrosis area >75% as described previously 40,41 .…”
Section: Masson's Trichrome Stainingmentioning
confidence: 99%
“…The target areas of tumors were identified at a low magnification with an optical microscope (Olympus BX53), and then the images of CAFs and collagen fibers were collected from a randomly selected field of the target areas at a magnification of 40x. The area ratios of α-SMA + CAF (Fig 1 ) and the bluestained area (collagen fibers) (Fig 2 ) on MTS were determined using the image analysis software program "ImageJ" (version 1.52p, National Institutes of Health, Bethesda, MD, USA) with the plugin "color deconvolution" for stain separation [36,37]. A yellow image was separated from the image of α-SMA + CAF using the separation function for hematoxylin & DAB (H DAB) of the plugin, and a blue image was separated from the image of MTS using the separation function for MTS.…”
Section: Methodsmentioning
confidence: 99%