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dc.rights.licenseUsers may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorBoyer, Kim L.
dc.contributorStewart, Charles V.
dc.contributorBjornsson, Christopher S.
dc.contributor.authorGalbreath, Zachary Stephen
dc.date.accessioned2021-11-03T10:22:27Z
dc.date.available2021-11-03T10:22:27Z
dc.date.created2012-03-12T14:48:24Z
dc.date.issued2011-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3482
dc.descriptionDecember 2011
dc.descriptionSchool of Engineering
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer and systems engineering
dc.titleTracing, extracting features, and classifying microglia from volumetric images of brain tissue
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid32985
dc.digitool.pid32986
dc.digitool.pid32988
dc.digitool.pid32987
dc.digitool.pid32989
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Electrical, Computer, and Systems Engineering


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