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Proceedings Paper

Monitoring receptor-ligand interactions using fluorescence lifetime FRET imaging via deep learning (Conference Presentation)
Author(s): Margarida Barroso; Alena Rudkouskaya; Jason T. Smith; Xavier Intes

Paper Abstract

Quantification of ligand-receptor engagement in human breast cancer cells and tumor xenografts has been performed using fluorescence lifetime Forster resonance energy transfer (FLI-FRET) imaging at multiscale, from in vitro microscopy to in vivo macroscopy and across visible to near-infrared wavelengths. We have developed a 3D convolutional neural network architecture, named FLI-Network (FLI-Net), to process fluorescence lifetime decays acquired by either Time-Correlated Single-Photon Counting (TCSCP)- or gated ICCD- based instruments. FLI-FRET ability to measure target engagement across different imaging platforms as well as post-processing analysis approaches can find numerous applications in pre-clinical drug delivery and targeted therapy assessment and optimization.

Paper Details

Date Published: 9 March 2020
Proc. SPIE 11244, Multiphoton Microscopy in the Biomedical Sciences XX, 1124419 (9 March 2020); doi: 10.1117/12.2546342
Show Author Affiliations
Margarida Barroso, Albany Medical College (United States)
Alena Rudkouskaya, Albany Medical College (United States)
Jason T. Smith, Rensselaer Polytechnic Institute (United States)
Xavier Intes, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 11244:
Multiphoton Microscopy in the Biomedical Sciences XX
Ammasi Periasamy; Peter T. C. So; Karsten König, Editor(s)

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