Quantitative evaluation of color difference between actual specimens and whole-slide imaging-scanned images calibrated with commercial color charts

Yusuke Murayama, Tohru Sugiyama, Yoshihiko Ogino, Hiroki Furuta, Takaaki Kambara, Koi Kamisono, Tokiya Abe, Katsura Emoto, Akinori Hashiguchi, Yoichi Kajimura, Michiie Sakamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When using different cameras and displays in the shot and display of one subject, different color images are often showed. To solve this problem, we have developed a color chart in which the constituent colors dyed with dyes are evenly distributed in the color space. We have also developed a tool that creates an International Color Consortium (ICC) profile from the captured image of this color chart. In this report, we will describe the color difference correction accuracy when our method is applied to actual stained pathological specimens taken with multiple whole-slide imaging (WSI). We confirmed color correction accuracy of Lab values in major parts such as the cell nucleus. The Lab value of the specimen itself measured by a spectrocolorimeter was compared with that of the captured image. As a result, the color difference ?E in H&E-stained cell nucleus was improved from 32.2 to 6.4 for Nanozoomer and from 13.5 to 7.2 for ultra-fast scanner (UFS) by our color correction. The results of the evaluations for other areas and other stain methods (PAS, EVG, MT, and PAM) were good. In the future, high-accuracy color correction of teacher data/evaluation data in AI diagnosis using pathological images will be important.

Original languageEnglish
Title of host publicationMedical Imaging 2022
Subtitle of host publicationDigital and Computational Pathology
EditorsJohn E. Tomaszewski, Aaron D. Ward, Richard M. Levenson
PublisherSPIE
ISBN (Electronic)9781510649538
DOIs
Publication statusPublished - 2022
EventMedical Imaging 2022: Digital and Computational Pathology - Virtual, Online
Duration: 2022 Mar 212022 Mar 27

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12039
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2022: Digital and Computational Pathology
CityVirtual, Online
Period22/3/2122/3/27

Keywords

  • HE stain
  • WSI
  • color calibration
  • color chart
  • digital pathological image

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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