Wideband fluorescence-based thermometry by neural network recognition: Photothermal application with 10 ns time resolution

Author:

Liu Liwang1ORCID,Zhong Kuo2,Munro Troy13,Alvarado Salvador1,Côte Renaud4,Creten Sebastiaan1,Fron Eduard2,Ban Heng3,Van der Auweraer Mark2ORCID,Roozen N. B.1ORCID,Matsuda Osamu5,Glorieux Christ1ORCID

Affiliation:

1. Laboratory for Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D, Heverlee B-3001, Belgium

2. Molecular Imaging and Photonics, Department of Chemistry, KU Leuven, Celestijnenlaan 200F-box 2404, Heverlee 3001, Belgium

3. Multiscale Thermal-Physics Lab, Department of Mechanical and Aerospace Engineering, Utah State University, 4130 Old Main Hill, Logan, Utah 84322, USA

4. Aix-Marseille University, IUT de Provence, Paris 75018, France

5. Department of Applied Physics, Graduate School of Engineering, Hokkaido University, Sapporo 060-8628, Japan

Funder

China Scholarship Council (CSC)

KU Leuven (Katholieke Universiteit Leuven)

Fonds Wetenschappelijk Onderzoek (FWO)

Publisher

AIP Publishing

Subject

General Physics and Astronomy

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