FLYBOW IMAGE SEGMENTATION - For Tracing Neuron Circuits in Drosophila Brain

Hao-Chiang Shao, Wei-Yun Cheng, Yung-Chang Chen, Wen-Liang Hwang

2012

Abstract

Recently developed were the Brainbow and Flybow techniques that can image and visualize a large number of neurons at a time. These techniques provide a way for imaging multiple neurons at the same time, and ideally, neurons can then be differentiated from each other according to their color information. However, due to dozens of neuron fibers spreading spatially in a very intricate structure, it is time-consuming to label them by hand and also difficult to trace them by using existing algorithms designed for tracing a single neuron. We proposed a prototype scheme based on grayscale morphological operations for segmenting Flybow imagery. The proposed method can provide segmentation results semi-automatically, and thus it would be useful for biologists to identify the neuro-circuits and develop the ground truth as well.

References

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Paper Citation


in Harvard Style

Shao H., Cheng W., Chen Y. and Hwang W. (2012). FLYBOW IMAGE SEGMENTATION - For Tracing Neuron Circuits in Drosophila Brain . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 365-369. DOI: 10.5220/0003767403650369


in Bibtex Style

@conference{biosignals12,
author={Hao-Chiang Shao and Wei-Yun Cheng and Yung-Chang Chen and Wen-Liang Hwang},
title={FLYBOW IMAGE SEGMENTATION - For Tracing Neuron Circuits in Drosophila Brain},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={365-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003767403650369},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - FLYBOW IMAGE SEGMENTATION - For Tracing Neuron Circuits in Drosophila Brain
SN - 978-989-8425-89-8
AU - Shao H.
AU - Cheng W.
AU - Chen Y.
AU - Hwang W.
PY - 2012
SP - 365
EP - 369
DO - 10.5220/0003767403650369