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.
[1]
Akira Saito,et al.
Color Correction in Whole Slide Digital Pathology
,
2012,
International Conference on Communications in Computing.
[2]
Marios A. Gavrielides,et al.
Assessing color reproducibility of whole-slide imaging scanners
,
2013,
Medical Imaging.
[3]
Yukako Yagi,et al.
Color standardization and optimization in Whole Slide Imaging
,
2011,
Diagnostic pathology.
[4]
Kosei Tamiya,et al.
Color Standardization Method and System for Whole Slide Imaging Based on Spectral Sensing
,
2011,
Analytical cellular pathology.
[5]
Louis D. Silverstein,et al.
Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy
,
2012,
Journal of Digital Imaging.
[6]
Abhay Sharma,et al.
Evaluating the quality of commercial ICC color management software
,
2002
.
[7]
Wencheng Wu,et al.
The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations
,
2005
.
[8]
M. Luo,et al.
The development of the CIE 2000 Colour Difference Formula
,
2001
.
[9]
L. Pantanowitz.
Digital images and the future of digital pathology
,
2010,
Journal of pathology informatics.