Automatic detection of endothelial cells in 3D angiogenic sprouts from experimental phase contrast images
Cell migration studies in 3D environments become more popular, as cell behaviors in 3D are more similar to the behaviors of cells in a living organism (in vivo). We focus on the 3D angiogenic sprouting in microfluidic devices, where Endothelial Cells (ECs) burrow into the gel matrix and form solid l...
Main Authors: | Wang, MengMeng (Author), Ong, Lee-Ling Sharon (Author), Dauwels, Justin (Author), Asada, Haruhiko (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
SPIE,
2017-03-09T17:23:30Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Automated tracking and quantification of angiogenic vessel formation in 3D microfluidic devices
by: Wang, Mengmeng, et al.
Published: (2020) -
Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering
by: Wang, Mengmeng, et al.
Published: (2018) -
Automated tracking and quantification of angiogenic vessel formation in 3D microfluidic devices.
by: Mengmeng Wang, et al.
Published: (2017-01-01) -
An Experimentally Tuned Dynamic Model Predicting Cell Migration for Guidance of Sprouting Endothelial Cells
by: Wood, Levi Benjamin, et al.
Published: (2018) -
Three-Dimensional Characterization of Mechanical Interactions between Endothelial Cells and Extracellular Matrix during Angiogenic Sprouting
by: Du, Yue, et al.
Published: (2017)