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

被引:1
作者
Chu, Mei-Lan [1 ,2 ]
Ge, Xing-Yue M. [1 ]
Eastham, Jeffrey [1 ]
Nguyen, Trung [1 ]
Fuji, Reina N. [1 ]
Sullivan, Ruth [1 ]
Ruderman, Daniel [1 ]
机构
[1] Genentech Inc, San Francisco, CA 94080 USA
[2] Genentech Inc, Genentech Res & Early Dev gRED, Safety Assessment Pathol, 1 DNA Way, San Francisco, CA 94080 USA
关键词
color correction; color variation; digital pathology; toxicologic pathology; whole slide images; NORMALIZATION;
D O I
10.1177/01926233231224468
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
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.
引用
收藏
页码:313 / 328
页数:16
相关论文
共 38 条
  • [11] Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images
    Hernandez-Cabronero, Miguel
    Sanchez, Victor
    Blanes, Ian
    Auli-Llinas, Francesc
    Marcellin, Michael W.
    Serra-Sagrista, Joan
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 38 (01) : 21 - 32
  • [12] Whole Slide Image Quality in Digital Pathology: Review and Perspectives
    Brixtel, Romain
    Bougleux, Sebastien
    Lezoray, Olivier
    Caillot, Yann
    Lemoine, Benoit
    Fontaine, Mathieu
    Nebati, Dalal
    Renouf, Arnaud
    IEEE ACCESS, 2022, 10 : 131005 - 131035
  • [13] Color restoration based on digital pathology image
    Sun, Guoxin
    Yan, Xiong
    Wang, Huizhe
    Li, Fei
    Yang, Rui
    Xu, Jing
    Liu, Xin
    Li, Xiaomao
    Zou, Xiao
    PLOS ONE, 2023, 18 (06):
  • [14] Multi-Stained Whole Slide Image Alignment in Digital Pathology
    Deniz, Oscar
    Toomey, David
    Conway, Catherine
    Bueno, Gloria
    MEDICAL IMAGING 2015: DIGITAL PATHOLOGY, 2015, 9420
  • [15] Image Quality Assessment for Color Correction Based on Color Contrast Similarity and Color Value Difference
    Niu, Yuzhen
    Zhang, Haifeng
    Guo, Wenzhong
    Ji, Rongrong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 28 (04) : 849 - 862
  • [16] Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization
    Li, Bin
    Keikhosravi, Adib
    Loeffler, Agnes G.
    Eliceiri, Kevin W.
    MEDICAL IMAGE ANALYSIS, 2021, 68
  • [17] Color standardization method and system for whole slide imaging based on spectral sensing
    Tani, Shinsuke
    Fukunaga, Yasuhiro
    Shimizu, Saori
    Fukunishi, Munenori
    Ishii, Kensuke
    Tamiya, Kosei
    ANALYTICAL CELLULAR PATHOLOGY, 2012, 35 (02) : 107 - 115
  • [18] Impact of stain variation and color normalization for prognostic predictions in pathology
    Lin, Siyu
    Zhou, Haowen
    Watson, Mark
    Govindan, Ramaswamy
    Cote, Richard J.
    Yang, Changhuei
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [19] Digital pathology whole slide image compression with Vector Quantized Variational Autoencoders
    Keighley, Jason
    de Kamps, Marc
    Wright, Alexander
    Treanor, Darren
    MEDICAL IMAGING 2023, 2023, 12471
  • [20] Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
    Kanwal, Neel
    Fuster, Saul
    Khoraminia, Farbod
    Zuiverloon, Tahlita C. M.
    Rong, Chunming
    Engan, Kjersti
    2022 IEEE 14TH IMAGE, VIDEO, AND MULTIDIMENSIONAL SIGNAL PROCESSING WORKSHOP (IVMSP), 2022,