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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.contributorFranklin, W. Randolph
dc.contributorNagy, George
dc.contributorRadke, Richard J., 1974-
dc.contributorRobey, Ellen
dc.contributor.authorChen, Ying
dc.date.accessioned2021-11-03T09:42:45Z
dc.date.available2021-11-03T09:42:45Z
dc.date.created2010-02-05T09:42:56Z
dc.date.issued2009-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2899
dc.descriptionDecember 2009
dc.descriptionSchool of Engineering
dc.descriptionCenter for Subsurface Sensing and Imaging Systems
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectElectrical engineering
dc.titleAutomated 5-D analysis of cell dynamics from time-lapse sequences of multi-channel images
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid21159
dc.digitool.pid21160
dc.digitool.pid21162
dc.digitool.pid21161
dc.digitool.pid21163
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 Electrical, Computer, and Systems Engineering


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