Extraction of neurite structures for high throughput imaging screening of neuron based assays

Yong Zhang, Xiaobo Zhou, Stephen T. Wong

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

2 Scopus citations

Abstract

Neuron image analysis has recently emerged as a critical component for enabling quantitative systems neurobiology and high throughput drug screening. In this paper, we present a new algorithm for fast and automatic extraction of neurite structures in microscopy neuron images. The algorithm is based on novel methods for soma segmentation, seed point detection, recursive center line detection, and 2D curve smoothing. The algorithm is fully automatic without any human interaction while robust enough for processing images of poor quality, e.g., low contrast or low signal-to-noise ratio. It can be used to extract accurately highly complex neunte structures. All these advantages make the proposed algorithm suitable for increasingly demanding and complex image analysis tasks in systems biology and drug screening.

Original languageEnglish (US)
Title of host publication2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States
Duration: Jul 13 2006Jul 14 2006

Other

Other2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
CountryUnited States
CityBethesda, MD
Period7/13/067/14/06

ASJC Scopus subject areas

  • Health(social science)
  • Assessment and Diagnosis
  • Medicine(all)
  • Health Information Management
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Signal Processing

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