Back to articles
Articles
Volume: 4 | Article ID: art00092
Image
Color Correction of Red Blood Cell Area in H&E Stained Images by Using Multispectral Imaging
  DOI :  10.2352/CGIV.2008.4.1.art00092  Published OnlineJanuary 2008
Abstract

The color of stained pathological images varies depending on staining conditions. Since pathologists based their diagnosis on changes in color and morphology of a particular tissue component, it is important that color variations in stained pathological images be corrected so as to obtain a more reliable diagnosis. A color correction for Hematoxylin & Eosin (H&E) stained images was proposed previously. However, the method did not successfully correct the color of red blood cell (RBC) but only the nucleus and cytoplasm. In this paper, a modified color correction method that can appropriately correct the color of RBC areas in H&E stained images is proposed. In the method, a different weighting coefficient was assigned to RBC areas, which was based from the averaged dye amount ratio in RBC areas in reference and test slides, and a new basis function was derived, in addition to the original three bases functions, to represent the change in the absorption coefficient in RBC areas. In the experiment, the effectiveness of the proposed method was shown with respect to the color difference between reference and test slides in CIE-LAB space.

Subject Areas :
Views 28
Downloads 3
 articleview.views 28
 articleview.downloads 3
  Cite this article 

Tokiya Abe, Hideaki Haneishi, Pinky A. Bautista, Yuri Murakami, Masahiro Yamaguchi, Nagaaki Ohyama, Yukako Yagi, "Color Correction of Red Blood Cell Area in H&E Stained Images by Using Multispectral Imagingin Proc. IS&T CGIV 2008/MCS'08 4th European Conf. on Colour in Graphics, Imaging, and Vision 10th Int'l Symp. on Multispectral Colour Science,  2008,  pp 432 - 436,  https://doi.org/10.2352/CGIV.2008.4.1.art00092

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2008
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA