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Segmentation of retinal ganglion cells from fluorescent microscopy imaging

Lookup NU author(s): Dr Gerrit HilgenORCiD, Professor Evelyne SernagorORCiD


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Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. The visual information processing starts in the retina. The working mechanisms of its complex stratified circuits, in which ganglion cells play a central role, is still largely unknown. Understanding the visual coding is a challenging and active research area also requiring automated analysis of retinal images. It demands appropriate algorithms and methods for studying a network population of strictly entangled cells. Within this framework, we propose a combined technique for segmenting retinal ganglion cell (RGC) bodies, the output elements of the retina. The method incorporates a blob enhancement filtering in order to select the specific cell shapes, an active contour process for precise border segmentation and a watershed transform step which separates single cell contours in possible grouped segmentations. The proposed approach has been validated on fluorescent microscopy images of mouse retinas with promising results.

Publication metadata

Author(s): Baglietto S, Kepiro IE, Hilgen G, Sernagor E, Murino V, Sona D

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017)

Year of Conference: 2017

Pages: 17-23

Online publication date: 08/03/2017

Acceptance date: 02/04/2016

Publisher: SciTePress


DOI: 10.5220/0006110300170023

Library holdings: Search Newcastle University Library for this item

ISBN: 9789897582158