Automatic dendritic spine analysis in two-photon laser scanning microscopy images

Wenjia Bai, Xiaobo Zhou, Liang Ji, Jie Cheng, Stephen T.C. Wong

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

Dendritic spine expression plays an important role in the central nervous system. Modern fluorescence microscopy and green fluorescent protein technology have facilitated the research on spines. To quantitatively analyze the spines in fluorescence microscopy images, an automatic dendritic spine analysis method is proposed. Because of the limit of axial resolution, our method is designed to process the projection image along the z-axis and analyze the lateral spines. The method can automatically extract the dendrite centerlines and segment the spines along the dendrites according to width-based criteria. The criteria utilize a common morphological feature of the spines. It can detect some shapes of spines missed by previous methods. In addition, the proposed method is automatic once a few parameters are set. Spine numbers, lengths, and densities, which biologists are interested in, are analyzed both manually and automatically. The results of the two methods match well. The proposed method provides automatic and accurate dendritic spine analysis. It can serve as a useful tool for spine image analysis to avoid tedious manual labor.

Original languageEnglish (US)
Pages (from-to)818-826
Number of pages9
JournalCytometry Part A
Volume71
Issue number10
DOIs
StatePublished - Oct 2007

Keywords

  • Dendritic spine
  • Fluorescence microscopy
  • Image analysis
  • Image segmentation
  • Nervous system

ASJC Scopus subject areas

  • Hematology
  • Cell Biology
  • Pathology and Forensic Medicine
  • Biophysics
  • Endocrinology

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