Paper
29 March 2013 An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies
Author Affiliations +
Proceedings Volume 8676, Medical Imaging 2013: Digital Pathology; 867606 (2013) https://doi.org/10.1117/12.2007977
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Studying inflammatory cell subsets in transplant biopsies can be important for diagnosis and to understand pathogenesis. Counting the different subsets of lymphocytes and macrophages in the immunostained renal biopsy is often considered as the only way to characterize the inflammatory infiltrate. Counting each subset of cells in each biopsy under a light microscope can be extremely tedious, time consuming and subject to inter- and intra-personal variability. This paper presents a new method to automatically count the number of CD8 positive cytotoxic t-cells on scanned images of immunostained slides of renal allograft biopsies. The method uses normalized multi-scale difference of Gaussian to detect the potential cytotoxic t-cell candidates regions, both in the color channel and the intensity channel. Then, it fuses the information from both channels’ candidate regions to detect the individual cells within cell clumps. The evaluation of the proposed method shows that there is a strong consensus between the proposed method’s markings with the pathologist’s markings (94.4%).
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Khalid Khan Niazi, Anjali A. Satoskar, and Metin N. Gurcan "An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies", Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 867606 (29 March 2013); https://doi.org/10.1117/12.2007977
Lens.org Logo
CITATIONS
Cited by 12 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Technetium

Biopsy

Image segmentation

Image analysis

Image fusion

RGB color model

Blood

Back to Top