Automatic Reconstruction of Neuron Morphology: The Survey on Reconstruction of Neurons
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2019 by IJETT Journal|
|Year of Publication : 2019|
|Authors : Shubhangi D.C, Farheen Kouser
|DOI : 10.14445/22315381/IJETT-V67I6P216|
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.
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.
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Neuron morphology, V3D system, Multi-scale tracking, Probabilistic filtering, SWS format