ArticleBiomedical optics express2019
Nonparametric empirical Bayesian framework for fluorescence-lifetime imaging microscopy.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Segmentation-guided photon pooling enables robust single-cell analysis and fast fluorescence lifetime imaging microscopy.Journal of biomedical optics · 2026Article
- Resolving fluorescently labeled species using highly multiplexed spectral FLIM.Scientific reports · 2026Article
- Multi-parameter fluorescence lifetime imaging for high-noise neuroscience applications.Biomedical optics express · 2026Article
- Segmentation-guided photon pooling enables robust single cell analysis and fast fluorescence lifetime imaging microscopy.bioRxiv : the preprint server for biology · 2025Article
- Building Fluorescence Lifetime Maps Photon-by-Photon by Leveraging Spatial Correlations.ACS photonics · 2023Article
- Fluorescence lifetime: Beating the IRF and interpulse window.Biophysical journal · 2023Article
- A method for the fast and photon-efficient analysis of time-domain fluorescence lifetime image data over large dynamic ranges.Journal of microscopy · 2022Article
- Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine.Sensors (Basel, Switzerland) · 2022Article
- High Resolution Fluorescence Lifetime Maps from Minimal Photon Counts.ACS photonics · 2022Article
- Label-free sensing of cells with fluorescence lifetime imaging: The quest for metabolic heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Complex wavelet filter improves FLIM phasors for photon starved imaging experiments.Biomedical optics express · 2021Article
- Direct Photon-by-Photon Analysis of Time-Resolved Pulsed Excitation Data using Bayesian Nonparametrics.Cell reports. Physical science · 2020Article
- Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications.Journal of biomedical optics · 2020Review
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Authors and funding
5 authors.
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Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a powerful imaging tool used to study the molecular environment of flurophores. In time domain FLIM, extracting lifetime from fluorophores signals entails fitting data to a decaying exponential distribution function. However, most existing techniques for this purpose need large amounts of photons at each pixel and a long computation time, thus making it difficult to obtain reliable inference in applications requiring either short acquisition or minimal computation time. In this work, we introduce a new nonparametric empirical Bayesian framework for FLIM data analysis (NEB-FLIM), leading to both improved pixel-wise lifetime estimation and a more robust and computationally efficient integral property inference. This framework is developed based on a newly proposed hierarchical statistical model for FLIM data and adopts a novel nonparametric maximum likelihood estimator to estimate the prior distribution. To demonstrate the merit of the proposed framework, we applied it on both simulated and real biological datasets and compared it with previous classical methods on these datasets.
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Registered trials
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