Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

21.7K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
21.7K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.7K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
14.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mechanics-free speckle contrast optical spectroscopy with liquid-lens-based adaptive illumination.

Optics letters·2026
Same author

Deep learning-enhanced super-resolution imaging using low-cost single photon avalanche diodes.

Optics express·2026
Same author

Multi-channel high-precision FPGA-embedded time correlated single photon counting systems for optical scattering imaging.

Optics express·2025
Same author

Assessing liquid light guides in diffuse correlation spectroscopy systems.

Biomedical optics express·2025
Same author

Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.

Journal of biomedical optics·2025
Same author

Fiber-Based Ultra-High-Speed Diffuse Speckle Contrast Analysis System for Deep Blood Flow Sensing Using a Large SPAD Camera.

Biosensors·2025

Related Experiment Video

Updated: Mar 12, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
09:45

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

26.0K

Towards unsupervised fluorescence lifetime imaging using low dimensional variable projection.

Yongliang Zhang, Annie Cuyt, Wen-Shin Lee

    Optics Express
    |November 19, 2016
    PubMed
    Summary

    This study introduces a new automated method for analyzing large fluorescence lifetime imaging (FLIM) datasets. The approach combines variable projection and Laguerre expansion deconvolution for efficient bi-exponential data analysis without manual intervention.

    More Related Videos

    Fluorescence Lifetime Macro Imager for Biomedical Applications
    06:01

    Fluorescence Lifetime Macro Imager for Biomedical Applications

    Published on: April 7, 2023

    1.2K
    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
    15:10

    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope

    Published on: October 9, 2014

    12.0K

    Related Experiment Videos

    Last Updated: Mar 12, 2026

    Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
    09:45

    Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

    Published on: February 9, 2012

    26.0K
    Fluorescence Lifetime Macro Imager for Biomedical Applications
    06:01

    Fluorescence Lifetime Macro Imager for Biomedical Applications

    Published on: April 7, 2023

    1.2K
    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
    15:10

    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope

    Published on: October 9, 2014

    12.0K

    Area of Science:

    • Biophotonics
    • Microscopy
    • Data Analysis

    Background:

    • Analyzing large fluorescence lifetime imaging (FLIM) datasets is challenging due to data volume.
    • Current methods like nonlinear least squares require manual intervention and initial guesses.
    • Efficient analysis is crucial for extracting meaningful biological information from FLIM data.

    Purpose of the Study:

    • To develop an automated method for analyzing bi-exponential data from time-domain FLIM systems.
    • To overcome the limitations of manual intervention in current FLIM data analysis techniques.
    • To enable efficient processing of large-scale FLIM datasets.

    Main Methods:

    • Combination of a custom-fit variable projection method.
    • Laguerre expansion based deconvolution for bi-exponential data analysis.
    • Monte Carlo simulations for performance evaluation on synthesized and real FLIM data.

    Main Results:

    • The proposed method successfully analyzes bi-exponential FLIM data without requiring initial guesses.
    • Demonstrated performance comparable to other approaches on synthesized and real-world FLIM data.
    • Effective analysis of autofluorescence in daisy pollen and gold nanorod endocytosis in living cells.

    Conclusions:

    • The developed method offers a simple, automated approach for FLIM data analysis.
    • Shows significant promise for handling and analyzing large FLIM datasets efficiently.
    • Facilitates automated FLIM analysis, reducing reliance on expert manual input.