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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Research Libraries.
dc.contributorRoysam, Badrinath
dc.contributorStewart, Charles V.
dc.contributorNagy, George
dc.contributorKramer, Peter Roland, 1971-
dc.contributorRoninson, Igor B.
dc.contributorRittscher, Jens
dc.contributor.authorPadfield, Dirk Ryan
dc.date.accessioned2021-11-03T07:54:17Z
dc.date.available2021-11-03T07:54:17Z
dc.date.created2009-03-02T09:56:51Z
dc.date.issued2009-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/760
dc.descriptionMay 2009
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleSegmentation and tracking algorithms for monitoring cellular motion and function
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid15653
dc.digitool.pid15654
dc.digitool.pid15656
dc.digitool.pid15655
dc.digitool.pid15657
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.degreePhD
dc.relation.departmentDept. of Computer Science


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