Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering
Cell migration is a key feature for living organisms. Image analysis tools are useful in studying cell migration in three-dimensional (3-D) in vitro environments. We consider angiogenic vessels formed in 3-D microfluidic devices (MFDs) and develop an image analysis system to extract cell behaviors f...
Main Authors: | Wang, Mengmeng (Author), Ong, Lee-Ling Sharon (Author), Dauwels, Justin (Author), Asada, Haruhiko (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
SPIE,
2018-10-25T15:28:29Z.
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Subjects: | |
Online Access: | Get fulltext |
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