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dc.contributor.advisorNatarajan, Vijay
dc.contributor.authorKumar, Kanuj
dc.date.accessioned2018-03-17T18:02:54Z
dc.date.accessioned2018-07-31T04:38:58Z
dc.date.available2018-03-17T18:02:54Z
dc.date.available2018-07-31T04:38:58Z
dc.date.issued2018-03-17
dc.date.submitted2013
dc.identifier.urihttp://etd.iisc.ac.in/handle/2005/3280
dc.identifier.abstracthttp://etd.iisc.ac.in/static/etd/abstracts/4142/G25601-Abs.pdfen_US
dc.description.abstractMicroscopic 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.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesG25601en_US
dc.subjectNeuronal Structuresen_US
dc.subjectNeuron Morphologyen_US
dc.subjectBeta Connection - Neuron Structuresen_US
dc.subjectNeuron Reconstructionen_US
dc.subjectNeuron Structures - Reconstructionen_US
dc.subject3D Neuron Structuresen_US
dc.subjectContour Extractionen_US
dc.subjectAutomated Neuron Reconstructionen_US
dc.subjectNeurons - Three-dimensional Reconstructionen_US
dc.subjectNeuroZoom Methoden_US
dc.subjectNeuroLucida Methoden_US
dc.subject.classificationComputer Scienceen_US
dc.titleReconstruction of 3D Neuronal Structuresen_US
dc.typeThesisen_US
dc.degree.nameMSc Enggen_US
dc.degree.levelMastersen_US
dc.degree.disciplineFaculty of Engineeringen_US


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