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Assessment of Color Reproducibility and Mitigation of Color Variation in Whole Slide Image Scanners for Toxicologic Pathology.

Authors :
Chu, Mei-Lan
Ge, Xing-Yue M.
Eastham, Jeffrey
Nguyen, Trung
Fuji, Reina N.
Sullivan, Ruth
Ruderman, Daniel
Source :
Toxicologic Pathology. Aug2023, Vol. 51 Issue 6, p313-328. 16p.
Publication Year :
2023

Abstract

Digital pathology workflows in toxicologic pathology rely on whole slide images (WSIs) from histopathology slides. Inconsistent color reproduction by WSI scanners of different models and from different manufacturers can result in different color representations and inter-scanner color variation in the WSIs. Although pathologists can accommodate a range of color variation during their evaluation of WSIs, color variability can degrade the performance of computational applications in digital pathology. In particular, color variability can compromise the generalization of artificial intelligence applications to large volumes of data from diverse sources. To address these challenges, we developed a process that includes two modules: (1) assessing the color reproducibility of our scanners and the color variation among them and (2) applying color correction to WSIs to minimize the color deviation and variation. Our process ensures consistent color reproduction across WSI scanners and enhances color homogeneity in WSIs, and its flexibility enables easy integration as a post-processing step following scanning by WSI scanners of different models and from different manufacturers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01926233
Volume :
51
Issue :
6
Database :
Academic Search Index
Journal :
Toxicologic Pathology
Publication Type :
Academic Journal
Accession number :
175500310
Full Text :
https://doi.org/10.1177/01926233231224468