Detection and quantification of fluorescent cell clusters in cryo-imaging

Authors:
Grant J. Steyer;Feng Dong;Lehar Kanodia;Debashish Roy;Marc Penn;David L. Wilson
Affiliations:
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH;Department of Cardiology, The Cleveland Clinic, Cleveland, OH;Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH;Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH;Department of Cardiology, The Cleveland Clinic, Cleveland, OH;Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH and 3Department of Radiology, Case Western Reserve University, Cleveland, OH
Venue:
Journal of Biomedical Imaging
Year:
2012

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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 phantomand tissue imaging tests, including accurate (