Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging

Abstract EN

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.