Deep Learning for Automated Analysis of Cellular and Extracellular Components of the Foreign Body Response in Multiphoton Microscopy Images

Deep Learning for Automated Analysis of Cellular and Extracellular Components of the Foreign Body Response in Multiphoton Microscopy Images

The Foreign body response (FBR) is a major unresolved challenge that compromises medical implant integration and function by inflammation and fibrotic encapsulation. Mice implanted with polymeric scaffolds coupled to intravital non-linear multiphoton microscopy acquisition enable multiparametric, lo...

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Bibliographic Details
Main Authors: Mattia Sarti, Maria Parlani, Luis Diaz-Gomez, Antonios G. Mikos, Pietro Cerveri, Stefano Casarin, Eleonora Dondossola
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
foreign body response
deep learning
U-Net
intravital multiphoton microscopy
image analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.797555/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2021.797555/full

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