Fully automated segmentation and characterization of the dendritic trees of retinal horizontal neurons

Ryan A. Kerekes, Shaun S. Gleason, Rodrigo A.P. Martins, Michael Dyer

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

3 Scopus citations

Abstract

We introduce a new fully automated method for segmenting and characterizing the dendritic tree of neurons in confocal image stacks. Our method is aimed at wide-field-of-view, low-resolution imagery of retinal neurons in which dendrites can be intertwined and difficult to follow. The approach is based on 3-D skeletonization and includes a method for automatically determining an appropriate global threshold as well as a soma detection algorithm. We provide the details of the algorithm and a qualitative performance comparison against a commercially available neurite tracing software package, showing that a segmentation produced by our method more closely matches the ground-truth segmentation.

Original languageEnglish
Title of host publicationProceedings of the 2010 Biomedical Science and Engineering Conference, BSEC 2010
Subtitle of host publicationBiomedical Research and Analysis in Neuroscience, BRAiN
DOIs
StatePublished - 2010
Event2010 Biomedical Science and Engineering Conference, BSEC 2010: Biomedical Research and Analysis in Neuroscience, BRAiN - Oak Ridge, TN, United States
Duration: May 25 2010May 26 2010

Publication series

NameProceedings of the 2010 Biomedical Science and Engineering Conference, BSEC 2010: Biomedical Research and Analysis in Neuroscience, BRAiN

Conference

Conference2010 Biomedical Science and Engineering Conference, BSEC 2010: Biomedical Research and Analysis in Neuroscience, BRAiN
Country/TerritoryUnited States
CityOak Ridge, TN
Period05/25/1005/26/10

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