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Automated 3D reconstruction of neuronal structures from serial sections
dc.creator | Burton, Brent P | |
dc.date.accessioned | 2012-06-07T22:55:05Z | |
dc.date.available | 2012-06-07T22:55:05Z | |
dc.date.created | 1999 | |
dc.date.issued | 1999 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-B95 | |
dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
dc.description | Includes bibliographical references (leaves 55-59). | en |
dc.description | Issued also on microfiche from Lange Micrographics. | en |
dc.description.abstract | A fast automated system for tracing neurons in parallel is described, adequate to support a quantitative analysis of neuron morphology. The system described here automates digitized neuron feature extraction and reconstruction, thereby replacing current largely manual techniques for tracing individual neurons. Serial sections of brain tissue are created by physical sectioning. Sections are processed during scanning to determine regions of interest (ROIs) and to quickly cull unnecessary image data. An aggressive data culling and compression scheme reduces the original volumetric data into a ROI-based image collection that makes temporary secondary storage feasible. Neighboring ROIs are then matched from successive sections for segment and fiber tracing. Reconstructed segments created from these matches are disambiguated, resulting in an abbreviated structural description of the tissue's neurons and fiber tracts. | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
dc.subject | computer science. | en |
dc.subject | Major computer science. | en |
dc.title | Automated 3D reconstruction of neuronal structures from serial sections | en |
dc.type | Thesis | en |
thesis.degree.discipline | computer science | en |
thesis.degree.name | M.S. | en |
thesis.degree.level | Masters | en |
dc.type.genre | thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |
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