Image sequences of live proliferating cells often contain visual ambiguities that are difficult even for human domain experts to resolve. Here we present a new approach to analyzing image sequences that capture the development of clones of hematopoietic stem cells (HSCs) from live cell time lapse microscopy. The HSCs cannot survive long term imaging unless they are cultured together with a secondary cell type, OP9 stromal cells. The HSCs frequently disappear under the OP9 cell layer, making segmentation difficult or impossible from a single image frame, even for a human domain expert. We have developed a new approach to the segmentation of HSCs that captures these occluded cells. Starting with an a priori segmentation that uses a Monte Carlo technique to estimate the number of cells in a clump of touching cells, we proceed to track and lineage the image data. Following user validation of the lineage information, an a posteriori resegmentation step utilizing tracking results delineates the HSCs occluded by the OP9 layer. Resegmentation has been applied to 3031 occluded segmentations from 77 tracks, correctly recovering over 84% of the occluded segmentations.
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6 citations in Scopus
Details
Title
Segmentation of Occluded Hematopoietic Stem Cells from Tracking
Creators
Walter C. Mankowski - Drexel University
Mark R. Winter - Drexel University
Eric Wait - Drexel University
Mels Lodder - The Ohio State University Wexner Medical Center
Ton Schumacher - Netherlands Cancer Institute
Shalin H. Naik - Walter and Eliza Hall Institute of Medical Research
Andrew R. Cohen - Drexel University
IEEE
Publication Details
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v 2014, pp 5510-5513
Series
IEEE Engineering in Medicine and Biology Society Conference Proceedings
Publisher
IEEE
Number of pages
4
Grant note
R01NS076709 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
R01 NS076709 / NINDS NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
Resource Type
Conference proceeding
Language
English
Academic Unit
Electrical and Computer Engineering
Web of Science ID
WOS:000350044705125
Scopus ID
2-s2.0-84907960659
Other Identifier
991019168962804721
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