Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging. (18th March 2012)

• Record Type: Journal Article
• Authors: Steyer, Grant J.; Dong, Feng; Kanodia, Lehar; Roy, Debashish; Penn, Marc; Wilson, David L.
• Other Names: Zheng Yibin Academic Editor.
• Is Part Of: International journal of biomedical imaging. Volume 2012(2012)
• Publication Date: 2012-03-18
• Subjects: Diagnostic imaging -- Periodicals; Imaging systems in medicine -- Periodicals; Imagerie pour le diagnostic; Imagerie médicale; Diagnostic imaging; Imaging systems in medicine; Diagnostic Imaging -- Periodicals; Electronic journals; Periodicals; 616.0754
• DOI: 10.1155/2012/698413
• Languages: English
• ISSNs: 1687-4188

Abstract

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.