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Automatic segmentation of neurons from fluorescent microscopy imaging

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


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© Springer International Publishing AG, part of Springer Nature 2018. Automatic detection and segmentation of neurons from microscopy acquisition is essential for statistically characterizing neuron morphology that can be related to their functional role. In this paper, we propose a combined pipeline that starts from the automatic detection of the soma through a new multiscale blob enhancement filtering. Then, a precise segmentation of the detected cell body is obtained by an active contour approach. The resulted segmentation is used as initial seed for the second part of the approach that proposes a dendrite arborization tracing method.

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: BIOSTEC: International Joint Conference on Biomedical Engineering Systems and Technologies

Year of Conference: 2017

Pages: 121-133

Online publication date: 03/07/2018

Acceptance date: 21/02/2017

Publisher: Springer Verlag


DOI: 10.1007/978-3-319-94806-5_7

Library holdings: Search Newcastle University Library for this item

Series Title: Communications in Computer and Information Science

ISBN: 9783319948058