Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging | Zendy

Grant J. Steyer | Zendy; Feng Dong | Zendy; Lehar Kanodia | Zendy; Debashish Roy | Zendy; Marc S. Penn | Zendy; David L. Wilson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging

Author(s) -

Grant J. Steyer,

Feng Dong,

Lehar Kanodia,

Debashish Roy,

Marc S. Penn,

David L. Wilson

Publication year - 2012

Publication title -

international journal of biomedical imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.626

H-Index - 41

eISSN - 1687-4196

pISSN - 1687-4188

DOI - 10.1155/2012/698413

Subject(s) - imaging phantom , homing (biology) , a priori and a posteriori , fluorescence , computer science , biomedical engineering , biology , medicine , nuclear medicine , physics , optics , ecology , philosophy , epistemology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research