Color standardization in whole slide imaging using a color calibration slide
Author(s) -
Pinky A. Bautista,
Noriaki Hashimoto,
Yukako Yagi
Publication year - 2014
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/2153-3539.126153
Subject(s) - color balance , artificial intelligence , computer vision , computer science , icc profile , color space , rgb color model , calibration , color correction , color difference , spectral color , color normalization , color depth , pixel , color histogram , color image , color model , image processing , mathematics , statistics , image (mathematics) , enhanced data rates for gsm evolution
Background: Color consistency in histology images is still an issue in digital pathology. Different imaging systems reproduced the colors of a histological slide differently. Materials and Methods: Color correction was implemented using the color information of the nine color patches of a color calibration slide. The inherent spectral colors of these patches along with their scanned colors were used to derive a color correction matrix whose coefficients were used to convert the pixels′ colors to their target colors. Results: There was a significant reduction in the CIELAB color difference, between images of the same H & E histological slide produced by two different whole slide scanners by 3.42 units, P < 0.001 at 95% confidence level. Conclusion: Color variations in histological images brought about by whole slide scanning can be effectively normalized with the use of the color calibration slide
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