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Proceedings Paper

Quantitative analysis of stain variability in histology slides and an algorithm for standardization
Author(s): Babak Ehteshami Bejnordi; Nadya Timofeeva; Irene Otte-Höller; Nico Karssemeijer; Jeroen A. W. M. van der Laak
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Paper Abstract

This paper presents data on the sources of variation of the widely used hematoxylin and eosin (H&E) histological staining, as well as a new algorithm to reduce these variations in digitally scanned tissue sections. Experimental results demonstrate that staining protocols in different laboratories and staining on different days of the week are the major factors causing color variations in histopathological images. The proposed algorithm for standardizing histology slides is based on an initial clustering of the image into two tissue components having different absorption characteristics for different dyes. The color distribution for each tissue component is standardized by aligning the 2D histogram of color distribution in the hue-saturation-density (HSD) model. Qualitative evaluation of the proposed standardization algorithm shows that color constancy of the standardized images is improved. Quantitative evaluation demonstrates that the algorithm outperforms competing methods. In conclusion, the paper demonstrates that staining variations, which may potentially hamper usefulness of computer assisted analysis of histopathological images, can be reduced considerably by applying the proposed algorithm.

Paper Details

Date Published: 20 March 2014
PDF: 7 pages
Proc. SPIE 9041, Medical Imaging 2014: Digital Pathology, 904108 (20 March 2014); doi: 10.1117/12.2043683
Show Author Affiliations
Babak Ehteshami Bejnordi, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Nadya Timofeeva, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Irene Otte-Höller, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Nico Karssemeijer, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Jeroen A. W. M. van der Laak, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 9041:
Medical Imaging 2014: Digital Pathology
Metin N. Gurcan; Anant Madabhushi, Editor(s)

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