Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB

Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB

Abstract Background Endothelial healing after deployment of cardiovascular devices is particularly important in the context of clinical outcome. It is therefore of great interest to develop tools for a precise prediction of endothelial growth after injury in the process of implant deployment. For ex...

Full description

Bibliographic Details
Main Authors: Jan Oldenburg, Lisa Maletzki, Anne Strohbach, Paul Bellé, Stefan Siewert, Raila Busch, Stephan B. Felix, Klaus-Peter Schmitz, Michael Stiehm
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Molecular and Cell Biology
Subjects:
Endothelial cells
Unet
CNN
Neural network
Wound healing
Cell scale
Online Access:https://doi.org/10.1186/s12860-021-00369-3

Internet

https://doi.org/10.1186/s12860-021-00369-3

Similar Items