Automatic analysis for neuron by confocal laser scanning microscope

Kouhei Satou, Yoshimitu Aoki, Nobuko Mataga, Takao K. Hensh, Katuhiko Taki

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

The aim of this study is to develop a system that recognizes both the macro- and microscopic configurations of nerve cells and automatically performs the necessary 3-D measurements and functional classification of spines. The acquisition of 3-D images of cranial nerves has been enabled by the use of a confocal laser scanning microscope, although the highly accurate 3-D measurements of the microscopic structures of cranial nerves and their classification based on their configurations have not yet been accomplished. In this study, in order to obtain highly accurate measurements of the microscopic structures of cranial nerves, existing positions of spines were predicted by the 2-D image processing of tomographic images. Next, based on the positions that were predicted on the 2-D images, the positions and configurations of the spines were determined more accurately by 3-D image processing of the volume data. We report the successful construction of an automatic analysis system that uses a coarse-to-fine technique to analyze the microscopic structures of cranial nerves with high speed and accuracy by combining 2-D and 3-D image analyses.

Original languageEnglish
Article number60510A
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6051
DOIs
Publication statusPublished - 2005 Dec 1
Externally publishedYes
EventOptomechatronic Machine Vision - Sappora, Japan
Duration: 2005 Dec 52005 Dec 7

Keywords

  • Confocal laser scanning microscope
  • Neuron image analysis
  • Pattern recognition
  • Spine

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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