ArticleOptics express2021
Single-photon peak event detection (SPEED): a computational method for fast photon counting in fluorescence lifetime imaging microscopy.
Article in Optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Artificial Intelligence in Label-Free Optical Imaging Applications.Methods in molecular biology (Clifton, N.J.) · 2026Article
- High-speed wide-field fluorescence lifetime imaging for intraoperative tumor visualization and in vivo multiplexing.Biomedical optics express · 2025Article
- High-speed fluorescence lifetime imaging microscopy: techniques, applications, and prospects.Biophotonics discovery · 2025Review
- Article
- Inspiring a convergent engineering approach to measure and model the tissue microenvironment.Heliyon · 2024Review
- Advancements in fluorescence lifetime imaging microscopy Instrumentation: Towards high speed and 3D.Current opinion in solid state & materials science · 2024Article
- Analog multiplexing of a laser clock and computational photon counting for fast fluorescence lifetime imaging microscopy.Biomedical optics express · 2024Article
- Temporally optimized and spectrally shaped hyperspectral coherent anti-Stokes Raman scattering microscopy.Optics express · 2024Article
- Article
- Fluorescence lifetime tracking and imaging of single moving particles assisted by a low-photon-count analysis algorithm.Biomedical optics express · 2023Article
- Tracking the binding of multi-functional fluorescent tags for Alzheimer's disease using quantitative multiphoton microscopy.Journal of biophotonics · 2022Article
- Computational Photon Counting Using Multithreshold Peak Detection for Fast Fluorescence Lifetime Imaging Microscopy.ACS photonics · 2022Article
- Label-free multimodal nonlinear optical imaging of needle biopsy cores for intraoperative cancer diagnosis.Journal of biomedical optics · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
Fluorescence lifetime imaging microscopy (FLIM) characterizes samples by examining the temporal properties of fluorescence emission, providing useful contrast within samples based on the local physical and biochemical environment of fluorophores. Despite this, FLIM applications have been limited in scope by either poor accuracy or long acquisition times. Here, we present a method for computational single-photon counting of directly sampled time-domain FLIM data that is capable of accurate fluorescence lifetime and intensity measurements while acquiring over 160 Mega-counts-per-second with sub-nanosecond time resolution between consecutive photon counts. We demonstrate that our novel method of Single-photon PEak Event Detection (SPEED) is more accurate than direct pulse sampling and faster than established photon counting FLIM methods. We further show that SPEED can be implemented for imaging and quantifying samples that benefit from higher -throughput and -dynamic range imaging with real-time GPU-accelerated processing and use this capability to examine the NAD(P)H-related metabolic dynamics of apoptosis in human breast cancer cells. Computational methods for photon counting such as SPEED open up more opportunities for fast and accurate FLIM imaging and additionally provide a basis for future innovation into alternative FLIM techniques.
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