GEMA—An Automatic Segmentation Method for Real-Time Analysis of Mammalian Cell Growth in Microfluidic Devices

GEMA—An Automatic Segmentation Method for Real-Time Analysis of Mammalian Cell Growth in Microfluidic Devices

Nowadays, image analysis has a relevant role in most scientific and research areas. This process is used to extract and understand information from images to obtain a model, knowledge, and rules in the decision process. In the case of biological areas, images are acquired to describe the behavior of...

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Bibliographic Details
Main Authors: Ramiro Isa-Jara, Camilo Pérez-Sosa, Erick Macote-Yparraguirre, Natalia Revollo, Betiana Lerner, Santiago Miriuka, Claudio Delrieux, Maximiliano Pérez, Roland Mertelsmann
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Imaging
Subjects:
biological image segmentation
apoptosis process
linear regression
real-time analysis
Online Access:https://www.mdpi.com/2313-433X/8/10/281

Internet

https://www.mdpi.com/2313-433X/8/10/281

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