Automatic segmentation of neurons from fluorescent microscopy imaging

Silvia Baglietto*, Ibolya E. Kepiro, Gerrit Hilgen, Evelyne Sernagor, Vittorio Murino, Diego Sona

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies - 10th International Joint Conference, BIOSTEC 2017, Revised Selected Papers
EditorsHesham H. Ali, Nathalia Peixoto, Margarida Silveira, Egon L. van den Broek, Carlos Maciel
Place of PublicationCham
PublisherSpringer
Pages121-133
Number of pages13
ISBN (Electronic)9783319948065
ISBN (Print)9783319948058
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017 - Porto, Portugal
Duration: 21 Feb 201723 Feb 2017

Publication series

NameCommunications in Computer and Information Science
Volume881
ISSN (Print)1865-0929

Conference

Conference10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017
CountryPortugal
CityPorto
Period21/02/1723/02/17

Fingerprint

Dive into the research topics of 'Automatic segmentation of neurons from fluorescent microscopy imaging'. Together they form a unique fingerprint.

Cite this