Intensity- and amplitude-weighted average lifetimes, denoted as τ I and τ A hereafter, are useful indicators for revealing Förster resonance energy transfer (FRET) or fluorescence quenching behaviors. In this work, we discussed the differences between τ I and τ A and presented several model-free lifetime determination algorithms (LDA), including the center-of-mass, phasor, and integral equation methods for fast τ I and τ A estimations. For model-based LDAs, we discussed the model-mismatch problems, and the results suggest that a bi-exponential model can well approximate a signal following a multi-exponential model. Depending on the application requirements, suggestions about the LDAs to be used are given. The instrument responses of the ima...
<div><p>Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information fr...
In this thesis, two methods for recovering underlying lifetime distributions from single photon coun...
The multiple signal classification algorithm has been widely used in array signal processing for dir...
Intensity- and amplitude-weighted average lifetimes, denoted as τ I and τ A hereafter, are useful in...
We present novel Bayesian methods for the analysis of exponential decay data that exploit the eviden...
We present novel Bayesian methods for the analysis of exponential decay data that exploit the eviden...
Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information from fluor...
A new incomplete decay signal model is proposed to describe the incomplete decay effects in a time-c...
AbstractChanging the data representation from the classical time delay histogram to the phasor repre...
A new hardware-friendly bi-exponential fluorescence lifetime imaging (FLIM) algorithm has been propo...
Estimation of signal parameters via rotational invariance techniques is a classical algorithm widely...
Despite their widespread use in cell biology, fluorescence lifetime imaging microscopy (FLIM) data-s...
A newly developed hardware-friendly non-iterative fluorescence lifetime imaging (FLIM) analysis meth...
Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information from fluor...
Development of instrumentation and image analysis methods for the fluorescence lifetime-resolved ima...
<div><p>Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information fr...
In this thesis, two methods for recovering underlying lifetime distributions from single photon coun...
The multiple signal classification algorithm has been widely used in array signal processing for dir...
Intensity- and amplitude-weighted average lifetimes, denoted as τ I and τ A hereafter, are useful in...
We present novel Bayesian methods for the analysis of exponential decay data that exploit the eviden...
We present novel Bayesian methods for the analysis of exponential decay data that exploit the eviden...
Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information from fluor...
A new incomplete decay signal model is proposed to describe the incomplete decay effects in a time-c...
AbstractChanging the data representation from the classical time delay histogram to the phasor repre...
A new hardware-friendly bi-exponential fluorescence lifetime imaging (FLIM) algorithm has been propo...
Estimation of signal parameters via rotational invariance techniques is a classical algorithm widely...
Despite their widespread use in cell biology, fluorescence lifetime imaging microscopy (FLIM) data-s...
A newly developed hardware-friendly non-iterative fluorescence lifetime imaging (FLIM) analysis meth...
Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information from fluor...
Development of instrumentation and image analysis methods for the fluorescence lifetime-resolved ima...
<div><p>Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information fr...
In this thesis, two methods for recovering underlying lifetime distributions from single photon coun...
The multiple signal classification algorithm has been widely used in array signal processing for dir...