title: Detection and quantification of fluorescent cell clusters in cryo-imaging.
abstract: We developed and evaluated an algorithm for enumerating fluorescently labeled cells (e.g., stem and cancer cells) in mouse-sized, microscopic-resolution, cryo-image volumes. Fluorescent cell clusters were detected, segmented, and then fit with a model which incorporated a priori information about cell size, shape, and intensity. The robust algorithm performed well in phantom and tissue imaging tests, including accurate (<2% error) counting of cells in mouse. Preliminary experiments demonstrate that cryo-imaging and software can uniquely analyze delivery, homing to an organ and tissue distribution of stem cell therapeutics.
authors.affiliation: Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
authors.forename: Grant J
authors.initials: GJ
authors.lastname: Steyer
authors.forename: Feng
authors.initials: F
authors.lastname: Dong
authors.forename: Lehar
authors.initials: L
authors.lastname: Kanodia
authors.forename: Debashish
authors.initials: D
authors.lastname: Roy
authors.forename: Marc
authors.initials: M
authors.lastname: Penn
authors.forename: David L
authors.initials: DL
authors.lastname: Wilson