ArticlePloS one2016
Robust Bayesian Fluorescence Lifetime Estimation, Decay Model Selection and Instrument Response Determination for Low-Intensity FLIM Imaging.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Segmentation-guided photon pooling enables robust single-cell analysis and fast fluorescence lifetime imaging microscopy.Journal of biomedical optics · 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
- Article
- Probing organoid metabolism using fluorescence lifetime imaging microscopy (FLIM): The next frontier of drug discovery and disease understanding.Advanced drug delivery reviews · 2023Review
- Fluorescence lifetime: Beating the IRF and interpulse window.Biophysical journal · 2023Article
- Article
- A method for the fast and photon-efficient analysis of time-domain fluorescence lifetime image data over large dynamic ranges.Journal of microscopy · 2022Article
- High Resolution Fluorescence Lifetime Maps from Minimal Photon Counts.ACS photonics · 2022Article
- Simple phasor-based deep neural network for fluorescence lifetime imaging microscopy.Scientific reports · 2021Article
- Histogram clustering for rapid time-domain fluorescence lifetime image analysis.Biomedical optics express · 2021Article
- Bayesian Inference: The Comprehensive Approach to Analyzing Single-Molecule Experiments.Annual review of biophysics · 2021Review
- Direct Photon-by-Photon Analysis of Time-Resolved Pulsed Excitation Data using Bayesian Nonparametrics.Cell reports. Physical science · 2020Article
- HER2-HER3 Heterodimer Quantification by FRET-FLIM and Patient Subclass Analysis of the COIN Colorectal Trial.Journal of the National Cancer Institute · 2020Article
- Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications.Journal of biomedical optics · 2020Review
- Article
- Nonparametric empirical Bayesian framework for fluorescence-lifetime imaging microscopy.Biomedical optics express · 2019Article
- High-resolution remote thermometry and thermography using luminescent low-dimensional tin-halide perovskites.Nature materials · 2019Article
- Automated Fluorescence Lifetime Imaging High-Content Analysis of Förster Resonance Energy Transfer between Endogenously Labeled Kinetochore Proteins in Live Budding Yeast Cells.SLAS technology · 2019Article
- Targeted fluorescence lifetime probes reveal responsive organelle viscosity and membrane fluidity.PloS one · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
We present novel Bayesian methods for the analysis of exponential decay data that exploit the evidence carried by every detected decay event and enables robust extension to advanced processing. Our algorithms are presented in the context of fluorescence lifetime imaging microscopy (FLIM) and particular attention has been paid to model the time-domain system (based on time-correlated single photon counting) with unprecedented accuracy. We present estimates of decay parameters for mono- and bi-exponential systems, offering up to a factor of two improvement in accuracy compared to previous popular techniques. Results of the analysis of synthetic and experimental data are presented, and areas where the superior precision of our techniques can be exploited in Förster Resonance Energy Transfer (FRET) experiments are described. Furthermore, we demonstrate two advanced processing methods: decay model selection to choose between differing models such as mono- and bi-exponential, and the simultaneous estimation of instrument and decay parameters.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.