Colored multi-neuron image processing for segmenting and tracing neural circuits

Recently developed were the Brainbow and Flybow techniques that can image and visualize a large number of neurons simultaneously; however, scientists still lack adequate tools to process this kind of colored multi-neuron image volumes. Due to dozens of colorized neuron fibers spreading densely in a...

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Bibliographic Details
Main Authors: Hao-Chiang Shao, Wei-Yun Cheng, Yung-Chang Chen, Wen-Liang Hwang
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Biomedical imaging
Flybow image
Image color analysis
image matting
Image segmentation
neuron tracing
Neurons
segmentation
Visualization
Online Access:Request full text
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Summary:Recently developed were the Brainbow and Flybow techniques that can image and visualize a large number of neurons simultaneously; however, scientists still lack adequate tools to process this kind of colored multi-neuron image volumes. Due to dozens of colorized neuron fibers spreading densely in a very intricate structure, it is difficult to trace them by existing algorithms designed for single-neuron images. We proposed a framework to formulate and solve this issue, and the experimental results show that our method can successfully extract independent neurons from Flybow images. Consequently, the proposed procedure contributes to neuroscience by increasing the efficiency of collecting neuron information from Flybow images.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2012.6467287