Rapid semi-automated segmentation and analysis of neuronal morphology and function from confocal image data

David R. Holmes, Michael J. Moore, Carlos B. Mantilla, Gary C. Sieck, Richard A. Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Confocal microscopy combined with cellular labeling techniques can be an effective method for imaging the morphology of a cell as well as various functional characteristics in vivo. Current analysis methods are manual, and therefore, time-consuming and prone to error. Through the development of custom algorithms and application design, the analysis process can be improved to decrease analysis time and increase reproducibility. Utilizing off-the-self PC hardware and software, a custom application was designed that would provide useful three-dimensional (3D) segmentation and analysis tools to analyze confocal image data of neurons. Techniques such as dynamic thresholding, adaptive filtering, and morphological processing were implemented to provide a robust and efficient analysis package. The automated method was compared with the standard manual method using two metrics - reproducibility and overall time necessary for analysis. The semi-automated method was more time efficient with very high reproducibility. Additional studies are necessary to further assess and improve upon the automated technique.

Original languageEnglish (US)
Title of host publication2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
PublisherIEEE Computer Society
Pages233-236
Number of pages4
ISBN (Electronic)078037584X
DOIs
StatePublished - Jan 1 2002
EventIEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States
Duration: Jul 7 2002Jul 10 2002

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2002-January
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

OtherIEEE International Symposium on Biomedical Imaging, ISBI 2002
CountryUnited States
CityWashington
Period7/7/027/10/02

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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