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: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
SPIE
2018
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| Online Access: | http://hdl.handle.net/1721.1/118771 https://orcid.org/0000-0003-3155-6223 |