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0567074 - FGÚ 2024 RIV CH eng J - Journal Article
Skvortsova, A. - Trelin, A. - Sedlář, Antonín - Erzina, M. - Trávníčková, Martina - Svobodová, Lucie - Kolská, Z. - Siegel, J. - Bačáková, Lucie - Švorčík, V. - Lyutakov, O.
SERS-CNN approach for non-invasive and non-destructive monitoring of stem cell growth on a universal substrate through an analysis of the cultivation medium.
Sensors and Actuators B - Chemical. Roč. 375, 15 January (2023), č. článku 132812. E-ISSN 0925-4005
R&D Projects: GA ČR(CZ) GA21-06065S
Institutional support: RVO:67985823
Keywords : SERS * artificial intelligence * stem cells * non-invasive detection
OECD category: Biomaterials (as related to medical implants, devices, sensors)
Impact factor: 8.4, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.snb.2022.132812
Permanent Link: https://hdl.handle.net/11104/0341697