Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging

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 ce...

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Detalles Bibliográficos
Autores principales: Steyer, Grant J., Dong, Feng, Kanodia, Lehar, Roy, Debashish, Penn, Marc, Wilson, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317210/
https://www.ncbi.nlm.nih.gov/pubmed/22481905
http://dx.doi.org/10.1155/2012/698413
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author Steyer, Grant J.
Dong, Feng
Kanodia, Lehar
Roy, Debashish
Penn, Marc
Wilson, David L.
author_facet Steyer, Grant J.
Dong, Feng
Kanodia, Lehar
Roy, Debashish
Penn, Marc
Wilson, David L.
author_sort Steyer, Grant J.
collection PubMed
description 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.
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spelling pubmed-33172102012-04-05 Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging Steyer, Grant J. Dong, Feng Kanodia, Lehar Roy, Debashish Penn, Marc Wilson, David L. Int J Biomed Imaging Research Article 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. Hindawi Publishing Corporation 2012 2012-03-18 /pmc/articles/PMC3317210/ /pubmed/22481905 http://dx.doi.org/10.1155/2012/698413 Text en Copyright © 2012 Grant J. Steyer et al. https://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Research Article
Steyer, Grant J.
Dong, Feng
Kanodia, Lehar
Roy, Debashish
Penn, Marc
Wilson, David L.
Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging
title Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging
title_full Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging
title_fullStr Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging
title_full_unstemmed Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging
title_short Detection and Quantification of Fluorescent Cell Clusters in Cryo-Imaging
title_sort detection and quantification of fluorescent cell clusters in cryo-imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317210/
https://www.ncbi.nlm.nih.gov/pubmed/22481905
http://dx.doi.org/10.1155/2012/698413
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