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

Mei-Lan Chu, Xing-Yue M. Ge,Jeffrey Eastham,Trung Nguyen,Reina N. Fuji,Ruth Sullivan, Daniel Ruderman

TOXICOLOGIC PATHOLOGY(2023)

Genentech Inc

Cited 0|Views16
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.
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Key words
color correction,color variation,digital pathology,toxicologic pathology,whole slide images.
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要点】:本文针对全切片图像扫描仪在不同型号和制造商间存在的颜色复制不一致问题,提出了一种评估颜色复制性和减小颜色变异的方法,以提高数字病理学中计算应用性能和人工智能应用的大规模数据泛化能力。

方法】:研究采用两个模块:一是评估扫描仪的颜色复制性和不同扫描仪之间的颜色变异;二是应用颜色校正方法对WSIs进行后处理,以减少颜色偏差和变异。

实验】:实验通过评估不同型号扫描仪的颜色复制性和应用颜色校正方法,使用的数据集名称未在摘要中提及,结果显示该过程确保了WSIs在不同扫描仪间的颜色一致性,增强了颜色均匀性,且易于集成到不同型号和制造商的扫描仪后处理步骤中。