Quantitative analysis of immunofluorescent retinal images

Jiyun Byun, Nhat Vu, Baris Sumengen and B. S. Manjunath
Center for Bio-image Informatics
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106-9560
http://www.bioimage.ucsb.edu/

Abstract

We present a novel method to quantitatively analyze confocal microscope images of retinas. We automatically detect nuclei within the outer nuclear layer (ONL) in a retinal image. Based on nuclei detection results, we also automatically measure the thickness of the ONL and the local cell density within the ONL. These measurements provide the first thorough quantitative analysis of retinal images. Our results not only verify previous conclusions about retinal restructuring during detachment, but also provide biologists with significant information about the regional responses in the ONL.
[PDF] [BibTex]
J. Byun, N. Vu, B. Sumengen and B. S. Manjunath,
IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1268-1271, Crystal City, CA, Apr. 2006.
Node ID: 421 , DB ID: 223 , VRLID: 153 , Lab: VRL , Target: Proceedings