Automated labeling of neurites in fluorescence microscopy images

Xiong Guanglei, Zhou Xiaobo, Ji Liang, Degterev Alexei, Stephen T. Wong

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

1 Scopus citations

Abstract

To investigate the intricate nervous processes involved in many biological activities by image analysis, accurate and reproducible labeling and measurement of neurites is a prerequisite. We have developed a fully automated neurite analysis method to assist this task. Unlike most of the previous reported manual or semiautomatic methods, our approach is fully automated. Single and connected centerlines along neurites are extracted. The computerized method can also output branching and end points. Due to its multi-scale nature, both thick and thin neurites are simultaneously detected. With the accurate and fully automated extraction of neurite centerlines and measurement of neurite lengths, the proposed method, which greatly reduces human labor and improves efficiency, can serve as a candidate tool for large-scale neurite analysis beyond the capability of manual tracing methods.

Original languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages534-537
Number of pages4
Volume2006
StatePublished - Nov 17 2006
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period4/6/064/9/06

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Automated labeling of neurites in fluorescence microscopy images'. Together they form a unique fingerprint.

Cite this