Search results
- 1.0567074 - 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 - 2.0504887 - ÚBO 2020 RIV SK eng J - Journal Article
Halačka, Karel - Mareš, J. - Vetešník, Lukáš - Blabolil, Petr
Application of the alizarin red S mass marking technique and its detection in stocked asp (Leuciscus aspius).
Biologia. Roč. 74, č. 10 (2019), s. 1359-1362. ISSN 0006-3088. E-ISSN 1336-9563
R&D Projects: GA MZe QJ1620240
Institutional support: RVO:68081766 ; RVO:60077344
Keywords : Aspius aspius * Fin rays * Fluorescence * Green laser * Non-invasive detection
OECD category: Zoology; Zoology (BC-A)
Impact factor: 0.811, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.2478/s11756-019-00247-6
Permanent Link: http://hdl.handle.net/11104/0296429