DeepFRAP: Fast fluorescence recovery after photobleaching data analysis using deep neural networks
Journal article, 2021
development of machine learning-based estimation in FRAP.
deep learning
confocal laser scanning microscopy
37 machine learning
regression
fluorescence recovery after photobleaching
deep neural network
diffusion
Author
Victor Wåhlstrand
RISE Research Institutes of Sweden
Annika Krona
RISE Research Institutes of Sweden
Niklas Lorén
Chalmers, Physics, Nano and Biophysics
RISE Research Institutes of Sweden
Magnus Röding
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
RISE Research Institutes of Sweden
University of Gothenburg
Journal of Microscopy
0022-2720 (ISSN) 1365-2818 (eISSN)
Vol. 282 2 146-161Areas of Advance
Nanoscience and Nanotechnology
Life Science Engineering (2010-2018)
Materials Science
Subject Categories (SSIF 2011)
Other Physics Topics
Probability Theory and Statistics
Infrastructure
Chalmers Materials Analysis Laboratory
DOI
10.1111/jmi.12989
PubMed
33247838