Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering

Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering

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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...

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Bibliographic Details
Main Authors: Wang, Mengmeng, Ong, Lee-Ling Sharon, Dauwels, Justin, Asada, Haruhiko
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Published: SPIE 2018
Online Access:http://hdl.handle.net/1721.1/118771
https://orcid.org/0000-0003-3155-6223

Internet

http://hdl.handle.net/1721.1/118771
https://orcid.org/0000-0003-3155-6223

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