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Authors: Silvia Baglietto 1 ; 2 ; Ibolya E. Kepiro 1 ; Gerrit Hilgen 3 ; Evelyne Sernagor 3 ; Vittorio Murino 1 ; 4 and Diego Sona 1 ; 5

Affiliations: 1 Istituto Italiano di Tecnologia, Italy ; 2 University of Genova, Italy ; 3 Institute of Neuroscience, United Kingdom ; 4 University of Verona, Italy ; 5 Fondazione Bruno Kessler, Italy

Keyword(s): Cell Segmentation, Active Contour, Multiscale Blob Filtering, Retinal Ganglion Cell.

Abstract: 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.

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Paper citation in several formats:
Baglietto, S.; Kepiro, I.; Hilgen, G.; Sernagor, E.; Murino, V. and Sona, D. (2017). Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING; ISBN 978-989-758-215-8; ISSN 2184-4305, SciTePress, pages 17-23. DOI: 10.5220/0006110300170023

@conference{bioimaging17,
author={Silvia Baglietto. and Ibolya E. Kepiro. and Gerrit Hilgen. and Evelyne Sernagor. and Vittorio Murino. and Diego Sona.},
title={Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING},
year={2017},
pages={17-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006110300170023},
isbn={978-989-758-215-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING
TI - Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging
SN - 978-989-758-215-8
IS - 2184-4305
AU - Baglietto, S.
AU - Kepiro, I.
AU - Hilgen, G.
AU - Sernagor, E.
AU - Murino, V.
AU - Sona, D.
PY - 2017
SP - 17
EP - 23
DO - 10.5220/0006110300170023
PB - SciTePress

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