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International Journal of Biomedical Imaging
Volume 2012 (2012), Article ID 698413, 12 pages
http://dx.doi.org/10.1155/2012/698413
Research Article

Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging

1Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA
2Department of Cardiology, The Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA
3Department of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA

Received 18 September 2011; Accepted 16 December 2011

Academic Editor: Yibin Zheng

Copyright © 2012 Grant J. Steyer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.