Open Access
12 December 2019 Optical fiber-based dispersion for spectral discrimination in fluorescence lifetime imaging systems
Md Abdul Kader Sagar, Bing Dai, Jenu V. Chacko, Joshua J. Weber, Andreas Velten, Scott T. Sanders, John G. White, Kevin W. Eliceiri
Author Affiliations +
Abstract

The excited state lifetime of a fluorophore together with its fluorescence emission spectrum provide information that can yield valuable insights into the nature of a fluorophore and its microenvironment. However, it is difficult to obtain both channels of information in a conventional scheme as detectors are typically configured either for spectral or lifetime detection. We present a fiber-based method to obtain spectral information from a multiphoton fluorescence lifetime imaging (FLIM) system. This is made possible using the time delay introduced in the fluorescence emission path by a dispersive optical fiber coupled to a detector operating in time-correlated single-photon counting mode. This add-on spectral implementation requires only a few simple modifications to any existing FLIM system and is considerably more cost-efficient compared to currently available spectral detectors.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Md Abdul Kader Sagar, Bing Dai, Jenu V. Chacko, Joshua J. Weber, Andreas Velten, Scott T. Sanders, John G. White, and Kevin W. Eliceiri "Optical fiber-based dispersion for spectral discrimination in fluorescence lifetime imaging systems," Journal of Biomedical Optics 25(1), 014506 (12 December 2019). https://doi.org/10.1117/1.JBO.25.1.014506
Received: 15 September 2019; Accepted: 20 November 2019; Published: 12 December 2019
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Optical fibers

Luminescence

Dispersion

Fluorescence lifetime imaging

GRIN lenses

Sensors

Imaging systems


CHORUS Article. This article was made freely available starting 11 December 2020

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