We developed and evaluated an algorithm for enumerating fluorescently labeled cells (e.g., stem and cancer cells) in mouse-sized,\r\nmicroscopic-resolution, cryo-image volumes. Fluorescent cell clusters were detected, segmented, and then fit with a model which\r\nincorporated a priori information about cell size, shape, and intensity. The robust algorithm performed well in phantom and tissue\r\nimaging tests, including accurate (<2% error) counting of cells in mouse. Preliminary experiments demonstrate that cryo-imaging\r\nand software can uniquely analyze delivery, homing to an organ and tissue distribution of stem cell therapeutics.
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