CellCountCV-A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks.
fluorescent protein-based sensors
image analysis
neural networks
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
29 Jun 2020
29 Jun 2020
Historique:
received:
03
06
2020
revised:
20
06
2020
accepted:
24
06
2020
entrez:
3
7
2020
pubmed:
3
7
2020
medline:
23
3
2021
Statut:
epublish
Résumé
In vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate, in real time, the processes occurring in living cells. At present, there are fluorescence, protein-based, sensory systems for detecting various substances in living cells (for example, hydrogen peroxide, ATP, Ca
Identifiants
pubmed: 32610652
pii: s20133653
doi: 10.3390/s20133653
pmc: PMC7374276
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Russian Science Foundation
ID : 19-75-20063
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