Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

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 developed.

You might also read

Related Articles

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

Sort by

Same author

Orchid conservation in the biodiversity hotspot of southwestern China.

Conservation biology : the journal of the Society for Conservation Biology·2015

Same author

The beneficial effects of betaine on dysfunctional adipose tissue and N6-methyladenosine mRNA methylation requires the AMP-activated protein kinase α1 subunit.

The Journal of nutritional biochemistry·2015

Same author

Elevated host lipid metabolism revealed by iTRAQ-based quantitative proteomic analysis of cerebrospinal fluid of tuberculous meningitis patients.

Biochemical and biophysical research communications·2015

Same author

Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis.

Bioinformatics (Oxford, England)·2015

Same author

Non-invasive, whole-plant imaging of chloroplast movement and chlorophyll fluorescence reveals photosynthetic phenotypes independent of chloroplast photorelocation defects in chloroplast division mutants.

The Plant journal : for cell and molecular biology·2015

Same author

Bone marrow mesenchymal stem cell implantation for the treatment of radioactivity‑induced acute skin damage in rats.

Molecular medicine reports·2015

Same journal

Generalizable framework for multi-site bone density prediction using non-dominant wrist optical biomarkers.

Biomedical optics express·2026

Same journal

Erratum: Review of dynamic optical coherence tomography for intracellular motility [Invited]: errata.

Biomedical optics express·2026

Same journal

Digital-micromirror-device-based illumination strategies for background suppression in single-molecule localization microscopy.

Biomedical optics express·2026

Same journal

Synergistic combination of convective self-assembly and hollow core fiber for sensitive SERS detection of glucose molecules.

Biomedical optics express·2026

Same journal

Multimodal diagnostic network integrating infrared and mass spectra for lung cancer.

Biomedical optics express·2026

Same journal

Multimodal Optical Biosensing for Precision Medicine and Healthcare: Introduction to the feature issue.

Biomedical optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 2, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates.

Jin Chen, Vivek Venugopal, Xavier Intes

Biomedical Optics Express

|April 13, 2011

Summary

This summary is machine-generated.

This study introduces an efficient Monte Carlo method for time-resolved fluorescence optical tomography, enabling simultaneous 3D imaging of multiple fluorophores with enhanced resolution and minimal crosstalk.

Keywords:

(110.1758) Computational imaging (110.6960) Tomography (170.3010) Image reconstruction techniques (170.3650) Lifetime-based sensing (170.6920) Time-resolved imaging

More Related Videos

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Related Experiment Videos

Last Updated: Jun 2, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells

Published on: February 9, 2012

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Area of Science:

Biomedical Optics
Medical Imaging
Fluorescence Tomography

Background:

Time-resolved fluorescence optical tomography (TR-FOT) offers 3D localization of multiple fluorophores using lifetime contrast for improved resolution.
Accurate light propagation models simulating weakly diffused and multiply scattered photons are crucial for leveraging full fluorescence time measurements.

Purpose of the Study:

To develop a computationally efficient Monte Carlo (MC) method for calculating time-gated fluorescence Jacobians.
To enable simultaneous imaging of two distinct fluorophores using lifetime contrast in TR-FOT.

Main Methods:

A novel MC-based formulation was derived to compute time-gated fluorescence Jacobians.
The method was validated on a synthetic murine model and experimentally using ICG and IRDye™800CW in a diffuse phantom.

Main Results:

The MC formulation accurately simulates light propagation for TR-FOT.
Simultaneous reconstruction of two fluorophores with lifetime contrast was achieved.
The method demonstrated increased resolution and minimal crosstalk.

Conclusions:

The developed MC-based method enhances simultaneous multi-fluorophore imaging in TR-FOT.
Combining multiple time gates improves resolution and reduces crosstalk in fluorescence lifetime imaging.
This approach offers a valuable tool for preclinical and clinical applications requiring precise localization of multiple targets.