ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy

ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy

Advances in microscopy imaging technologies have enabled the visualization of live-cell dynamic processes using time-lapse microscopy imaging. However, modern methods exhibit several limitations related to the training phases and to time constraints, hindering their application in the laboratory pra...

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Bibliographic Details
Main Authors: Leonardo Rundo, Andrea Tangherloni, Darren R. Tyson, Riccardo Betta, Carmelo Militello, Simone Spolaor, Marco S. Nobile, Daniela Besozzi, Alexander L. R. Lubbock, Vito Quaranta, Giancarlo Mauri, Carlos F. Lopez, Paolo Cazzaniga
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
bioimage informatics
time-lapse microscopy
fluorescence imaging
cell counting
nuclei segmentation
Online Access:https://www.mdpi.com/2076-3417/10/18/6187

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https://www.mdpi.com/2076-3417/10/18/6187

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