Automatic Reconstruction of Neuron Morphology: The Survey on Reconstruction of Neurons
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2019 by IJETT Journal | ||
| Volume-67 Issue-6 |
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| Year of Publication : 2019 | ||
| Authors : Shubhangi D.C, Farheen Kouser |
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| DOI : 10.14445/22315381/IJETT-V67I6P216 |
Citation
MLA Style: Shubhangi D.C, Farheen Kouser "Automatic Reconstruction of Neuron Morphology: The Survey on Reconstruction of Neurons" International Journal of Engineering Trends and Technology 67.6 (2019): 84-87.
APA Style:Shubhangi D.C, Farheen Kouser (2019). Automatic Reconstruction of Neuron Morphology: The Survey on Reconstruction of Neurons International Journal of Engineering Trends and Technology, 67(6), 84-87.
Abstract
The tracing of neurons and automatic reconstruction of neuron morphologies involves various techniques. Neurons have complex axonal and dendrites morphologies that are the structural building blocks of neural circuits. The neural cells microscopic image provides important structural information about the constituents of brain that forms the basis for many neuroscience studies. Reconstruction of the (3D) three dimensional neuron morphology is important to understand brain`s structure and function .3D of image stacks in real time is provided by the V3D system. Structural information into digital tree like reconstruction is done for computational analysis of neuron that has been captured. Multi-scale tracking techniques used to detect branching structures of neurons. Probabilistic filtering by sequential is used for tracing neuronal branches in microscopic image stacks. Analysis of neuronal morphology is done by SWS format. In this paper, our main goal is to present the review of automatic reconstruction of neurons using various techniques and purpose the comparison between each of them along with their respective pros and cons.
Reference
[1] Hanchuan Peng, Zongcai Ruan, Fuhui Long, Julie H. Simpson, and Eugene W. Myers, “V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets”, April 2010.
[2] Paarth Chothani, Vivek Mehta, and Armen Stepanyants, “ Automated tracing of neurites from light microscopy stacks of images”, June 2011.
[3] Peng H, “Automatic 3D neuron tracing using all-path pruning”, October 2011.
[4] Anaa Choromanska Shih-Fu Chang and Rafael Yuste “Automatic reconstruction of neural morphologies with multi- scale tracking”, June 2012.
[5] Linqing Feng, Ting Zhao, and Jinhyun Kim, “Efficient NeuronReconstruction Software Based on the SWC Format”, January 2014.
[6] Miroslav Radojevi´c1.Erik Meijering, “Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images”, December 2018.
Keywords
Neuron morphology, V3D system, Multi-scale tracking, Probabilistic filtering, SWS format