Automated 3D Microphysiometry Facilitates High-Content and Highly Reproducible Oxygen Measurements within 3D Cell Culture Models.
3D cell culture
biosensors
gelatin methacryloyl (GelMA)
hydrogels
label-free
metabolic monitoring
oxygenation
Journal
ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031
Informations de publication
Date de publication:
26 03 2021
26 03 2021
Historique:
pubmed:
24
2
2021
medline:
15
5
2021
entrez:
23
2
2021
Statut:
ppublish
Résumé
Microphysiometry is a powerful technique to study metabolic parameters and detect changes to external stimuli. However, applying this technique for automated label-free and real-time measurements within cell-laden three-dimensional (3D) cell culture constructs remains a challenge. Herein, we present an entirely automated microphysiometry setup that combines needle-type microsensors with motorized sample and sensor positioning systems inside a standard tissue-culture incubator. The setup records dissolved oxygen as a metabolic parameter along the
Identifiants
pubmed: 33621068
doi: 10.1021/acssensors.0c02551
doi:
Substances chimiques
Oxygen
S88TT14065
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM