ol-41-11-2561.pdf (2.17 MB)
Artificial neural network approaches for fluorescence lifetime imaging techniques
journal contribution
posted on 2023-06-09, 01:47 authored by Gang Wu, Thomas NowotnyThomas Nowotny, Yongliang Zhang, Hong-Qi Yu, David Day-Uei LiA novel high-speed fluorescence lifetime imaging (FLIM) analysis method based on artificial neural networks (ANN) has been proposed. In terms of image generation, the proposed ANN-FLIM method does not require iterative searching procedures or initial conditions, and it can generate lifetime images at least 180-fold faster than conventional least squares curve-fitting software tools. The advantages of ANN-FLIM were demonstrated on both synthesized and experimental data, showing that it has great potential to fuel current revolutions in rapid FLIM technologies.
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Publication status
- Published
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- Published version
Journal
Optics LettersISSN
0146-9592Publisher
Optical Society of AmericaExternal DOI
Issue
11Volume
41Page range
2561-2564Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- No
Legacy Posted Date
2016-06-20First Open Access (FOA) Date
2016-06-20First Compliant Deposit (FCD) Date
2016-06-20Usage metrics
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