Numerical evaluation of fluorescence probe using excitation spectrum of FRET network

Yusuke Ogura; Keita Hayashi; Suguru Shimomura; Takahiro Nishimura; Jun Tanida

doi:10.1117/12.3007939

20 September 2023 Numerical evaluation of fluorescence probe using excitation spectrum of FRET network

Yusuke Ogura, Keita Hayashi, Suguru Shimomura, Takahiro Nishimura, Jun Tanida

Proceedings Volume 12608, Biomedical Imaging and Sensing Conference; 126081E (2023) https://doi.org/10.1117/12.3007939
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

This paper presents fluorescence probes that can be identified using the excitation spectrum of a Förster resonance energy transfer (FRET) network. By using the excitation spectrum, it is not required to measure spectral information at every imaging point, and fluorescence imaging systems can be simplified. We investigated the property of the probe by numerical calculation. The results show that a variety of excitation spectra can be synthesized by changing the arrangement of the fluorophores used in the FRET network. We also confirmed that the composition ratio of probes can be estimated by measuring the excitation spectrum. The knowledge will be helpful not only for molecular sensing/imaging but also for FRET-based computing and other applications.

Citation Download Citation

Yusuke Ogura, Keita Hayashi, Suguru Shimomura, Takahiro Nishimura, and Jun Tanida "Numerical evaluation of fluorescence probe using excitation spectrum of FRET network", Proc. SPIE 12608, Biomedical Imaging and Sensing Conference, 126081E (20 September 2023); https://doi.org/10.1117/12.3007939

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