Record Details

Reconstruction of 3D Neuronal Structures

Electronic Theses of Indian Institute of Science

View Archive Info
 
 
Field Value
 
Title Reconstruction of 3D Neuronal Structures
 
Creator Kumar, Kanuj
 
Subject Neuronal Structures
Neuron Morphology
Beta Connection - Neuron Structures
Neuron Reconstruction
Neuron Structures - Reconstruction
3D Neuron Structures
Contour Extraction
Automated Neuron Reconstruction
Neurons - Three-dimensional Reconstruction
NeuroZoom Method
NeuroLucida Method
Computer Science
 
Description Microscopic analysis of biological structures can be significantly enhanced by representing the object of study as a three-dimensional entity. To assist neurobiologists investigate the molecular mechanisms involved in neurite formation requires an adequate visual model or at least some measurable data. Reconstruction helps analysis of biological structures by representing the object of study as a three-dimensional entity. It helps gain insight into the morphological variation observed in each class of neurons and for simulations of neuronal behavior. To perform the reconstruction, biologists today have to rely on time-consuming manual or semi-manual methods which either doesn't exhibit robustness against noise of microscopy images or fail to capture precise dendritic structures, thus necessitating the need of fully-automated reconstruction methods for neuronal structures. In our work, we designed a framework with the goal of enabling automation and yet produce flexible outputs to ensure a high quality reconstruction with minimal user intervention.
Our framework is also not bound by varying contrast, size or resolution of data, thus capable of working on data obtained from wide variety of acquisition methods and neuronal structures.
 
Contributor Natarajan, Vijay
 
Date 2018-03-17T18:02:54Z
2018-03-17T18:02:54Z
2018-03-17
2013
 
Type Thesis
 
Identifier http://hdl.handle.net/2005/3280
http://etd.ncsi.iisc.ernet.in/abstracts/4142/G25601-Abs.pdf
 
Language en_US
 
Relation G25601