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Artificial neural network approaches for fluorescence lifetime imaging techniques

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posted on 2023-06-09, 01:47 authored by Gang Wu, Thomas NowotnyThomas Nowotny, Yongliang Zhang, Hong-Qi Yu, David Day-Uei Li
A 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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Optics Letters

ISSN

0146-9592

Publisher

Optical Society of America

Issue

11

Volume

41

Page range

2561-2564

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • No

Legacy Posted Date

2016-06-20

First Open Access (FOA) Date

2016-06-20

First Compliant Deposit (FCD) Date

2016-06-20

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