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7 March 2022 Computational single-photon counting for fast fluorescence lifetime imaging microscopy using single- and multi-photon peak event detection
Janet E. Sorrells, Rishyashring R. Iyer, Lingxiao Yang, Eric J. Chaney, Marina Marjanovic, Haohua Tu, Stephen A. Boppart
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Proceedings Volume PC11965, Multiphoton Microscopy in the Biomedical Sciences XXII; PC119650D (2022) https://doi.org/10.1117/12.2607777
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
Multiphoton and confocal laser scanning fluorescence lifetime imaging microscopy (FLIM) are often limited by slow acquisition due to the dead time of photon-counting and time-tagging analog electronics. Here, we present a solution for faster imaging with lower dead time by directly digitizing the amplified detector output and computationally determining photon counts via GPU-accelerated processing using our custom Single- and multi-photon PEak Event Detection (SPEED) algorithm. The algorithm uses thresholded local maxima detection to temporally localize photon counts in the digitized data, enabling sub-ns dead time between consecutive photon counts.
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Janet E. Sorrells, Rishyashring R. Iyer, Lingxiao Yang, Eric J. Chaney, Marina Marjanovic, Haohua Tu, and Stephen A. Boppart "Computational single-photon counting for fast fluorescence lifetime imaging microscopy using single- and multi-photon peak event detection", Proc. SPIE PC11965, Multiphoton Microscopy in the Biomedical Sciences XXII, PC119650D (7 March 2022); https://doi.org/10.1117/12.2607777
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KEYWORDS
Fluorescence lifetime imaging
Microscopy
Multiphoton fluorescence microscopy
Multiphoton microscopy
Photon counting
Single photon detectors
Analog electronics
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