0574423 - ÚIACH 2024 RIV US eng J - Journal Article
Hlaváček, Antonín - Uhrová, Kateřina - Weisová, Julie - Křivánková, Jana
Artificial Intelligence-Aided Massively Parallel Spectroscopy of Freely Diffusing Nanoscale Entities.
Analytical Chemistry. Roč. 95, č. 33 (2023), s. 12256-12263. ISSN 0003-2700. E-ISSN 1520-6882
Institutional support: RVO:68081715
Keywords : photon-upconversion * fluorescence cross-correlation spectroscopy * slitless spectroscopy * massively parallel spectroscopy
OECD category: Analytical chemistry
Impact factor: 7.4, year: 2022
Method of publishing: Open access
https://pubs.acs.org/doi/epdf/10.1021/acs.analchem.3c01043
Permanent Link: https://hdl.handle.net/11104/0344750
Hlaváček, Antonín - Uhrová, Kateřina - Weisová, Julie - Křivánková, Jana
Artificial Intelligence-Aided Massively Parallel Spectroscopy of Freely Diffusing Nanoscale Entities.
Analytical Chemistry. Roč. 95, č. 33 (2023), s. 12256-12263. ISSN 0003-2700. E-ISSN 1520-6882
Institutional support: RVO:68081715
Keywords : photon-upconversion * fluorescence cross-correlation spectroscopy * slitless spectroscopy * massively parallel spectroscopy
OECD category: Analytical chemistry
Impact factor: 7.4, year: 2022
Method of publishing: Open access
https://pubs.acs.org/doi/epdf/10.1021/acs.analchem.3c01043
Permanent Link: https://hdl.handle.net/11104/0344750