A crosstalk tolerated neural segmentation methodology for Brainbow images

Tung Yu Wu*, Hung Hui Juan, Henry Horng Shing Lu, Ann Shyn Chiang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we develop a methodology to extract the neural components from Brainbow images. Brainbow, a new genetic engineering technology, can help scientists understand the mechanism of an olfactory system. However, crosstalk among channels exists in these images. In addition, it is necessary to develop an automatic method to analyze these data. In our proposed system, we adopt Gaussian mixture model to model the phenomenon of crosstalk and reconstruct the Brainbow images. Spectral matting is applied to extract neural components from different channels. Under this system, we can extract useful information from Brainbow images efficiently and correctly.

Original languageEnglish
Title of host publicationProceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11
DOIs
StatePublished - 1 Dec 2011
Event4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11 - Barcelona, Spain
Duration: 26 Oct 201129 Oct 2011

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11
Country/TerritorySpain
CityBarcelona
Period26/10/1129/10/11

Keywords

  • Brainbow
  • color filter
  • crosstalk
  • olfactory system
  • spectral matting

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