Literature DB >> 26158041

Color accuracy and reproducibility in whole slide imaging scanners.

Prarthana Shrestha1, Bas Hulsken1.   

Abstract

We propose a workflow for color reproduction in whole slide imaging (WSI) scanners, such that the colors in the scanned images match to the actual slide color and the inter-scanner variation is minimum. We describe a new method of preparation and verification of the color phantom slide, consisting of a standard IT8-target transmissive film, which is used in color calibrating and profiling the WSI scanner. We explore several International Color Consortium (ICC) compliant techniques in color calibration/profiling and rendering intents for translating the scanner specific colors to the standard display (sRGB) color space. Based on the quality of the color reproduction in histopathology slides, we propose the matrix-based calibration/profiling and absolute colorimetric rendering approach. The main advantage of the proposed workflow is that it is compliant to the ICC standard, applicable to color management systems in different platforms, and involves no external color measurement devices. We quantify color difference using the CIE-DeltaE2000 metric, where DeltaE values below 1 are considered imperceptible. Our evaluation on 14 phantom slides, manufactured according to the proposed method, shows an average inter-slide color difference below 1 DeltaE. The proposed workflow is implemented and evaluated in 35 WSI scanners developed at Philips, called the Ultra Fast Scanners (UFS). The color accuracy, measured as DeltaE between the scanner reproduced colors and the reference colorimetric values of the phantom patches, is improved on average to 3.5 DeltaE in calibrated scanners from 10 DeltaE in uncalibrated scanners. The average inter-scanner color difference is found to be 1.2 DeltaE. The improvement in color performance upon using the proposed method is apparent with the visual color quality of the tissue scans.

Keywords:  ICC profile; color calibration; color phantom; color rendering; digital pathology

Year:  2014        PMID: 26158041      PMCID: PMC4478790          DOI: 10.1117/1.JMI.1.2.027501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  4 in total

1.  Observer performance using virtual pathology slides: impact of LCD color reproduction accuracy.

Authors:  Elizabeth A Krupinski; Louis D Silverstein; Syed F Hashmi; Anna R Graham; Ronald S Weinstein; Hans Roehrig
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

2.  Color standardization method and system for whole slide imaging based on spectral sensing.

Authors:  Shinsuke Tani; Yasuhiro Fukunaga; Saori Shimizu; Munenori Fukunishi; Kensuke Ishii; Kosei Tamiya
Journal:  Anal Cell Pathol (Amst)       Date:  2012       Impact factor: 2.916

3.  Digital images and the future of digital pathology.

Authors:  Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2010-08-10

4.  Color standardization and optimization in whole slide imaging.

Authors:  Yukako Yagi
Journal:  Diagn Pathol       Date:  2011-03-30       Impact factor: 2.644

  4 in total
  8 in total

1.  Staining correction in digital pathology by utilizing a dye amount table.

Authors:  Pinky A Bautista; Yukako Yagi
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

2.  Colorimetrical uncertainty of a hyperspectral imaging microscopy system for assessing whole-slide imaging devices.

Authors:  Paul Lemaillet; Wei-Chung Cheng
Journal:  Biomed Opt Express       Date:  2020-02-19       Impact factor: 3.732

Review 3.  [Implementation of the "Digital Pathology in Diagnostics" guideline : Support systems and their functionality].

Authors:  P Hufnagl; S Lohmann; K Schlüns; N Zerbe
Journal:  Pathologe       Date:  2018-05       Impact factor: 1.011

4.  HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides.

Authors:  Andrew Janowczyk; Ren Zuo; Hannah Gilmore; Michael Feldman; Anant Madabhushi
Journal:  JCO Clin Cancer Inform       Date:  2019-04

5.  Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data.

Authors:  Jamie R Nuñez; Christopher R Anderton; Ryan S Renslow
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

Review 6.  Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists' Future "Microscope".

Authors:  Jacob T Abel; Peter Ouillette; Christopher L Williams; John Blau; Jerome Cheng; Keluo Yao; Winston Y Lee; Toby C Cornish; Ulysses G J Balis; David S McClintock
Journal:  J Pathol Inform       Date:  2020-08-11

7.  A quantitative approach to evaluate image quality of whole slide imaging scanners.

Authors:  Prarthana Shrestha; R Kneepkens; J Vrijnsen; D Vossen; E Abels; B Hulsken
Journal:  J Pathol Inform       Date:  2016-12-30

8.  Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study.

Authors:  Patrick Leo; Robin Elliott; Natalie N C Shih; Sanjay Gupta; Michael Feldman; Anant Madabhushi
Journal:  Sci Rep       Date:  2018-10-08       Impact factor: 4.379

  8 in total

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