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...

Confocal Fluorescence Microscopy

Confocal Fluorescence Microscopy

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,...

You might also read

Related Articles

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

Sort by

Same author

Dual inhibition of PP2A and WEE1 induces apoptosis and mitotic catastrophe in cancer cells.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026

Same author

HIF sustain a transcriptional regulatory circuit of EPAS1 expression in renal clear cell carcinoma.

Nature communications·2026

Same author

The near-infrared bacteriophytochrome-derived fluorescent protein PENELOPE enables RESOLFT superresolution microscopy.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same author

Super-resolution microscopy of mitochondrial mRNAs.

Nature communications·2025

Same author

Silencing mitochondrial gene expression in living cells.

Science (New York, N.Y.)·2025

Same author

In situ architecture of the human prohibitin complex.

Nature cell biology·2025

Same journal

Lipid droplets as stress-buffering organelles in cancer cell homeostasis.

Communications biology·2026

Same journal

A distinct domain organization of cystathionine β-synthase underlies cysteine and H<sub>2</sub>S biosynthesis in Pseudomonas aeruginosa and Klebsiella pneumoniae.

Communications biology·2026

Same journal

Highly consistent anatomical asymmetry in a small primate brain: left is always larger in the marmoset monkey.

Communications biology·2026

Same journal

The morphogenetic activity of dAnk genes in the diatom Thalassiosira pseudonana is sensitive to Si availability.

Communications biology·2026

Same journal

Mechanical regulation of adipogenic reprogramming suppresses ovarian cancer progression.

Communications biology·2026

Same journal

Depth-resolved transcriptional activity of antibiotic resistance genes in deep permafrost of the Qinghai-Tibet Plateau.

Communications biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 13, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

MultiMatch: geometry-informed colocalization in multi-color super-resolution microscopy.

Julia Naas^1,2, Giacomo Nies^3,4, Housen Li^3,4

¹Center for Integrative Bioinformatics Vienna (CIBIV), Max Perutz Labs, University of Vienna and Medical University of Vienna, Vienna, Austria.

Communications Biology

|September 13, 2024

Summary

This summary is machine-generated.

MultiMatch enhances super-resolution microscopy by analyzing particle arrangements using optimal transport. This method accurately identifies biological structures, even with incomplete labeling, improving colocalization analysis.

More Related Videos

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Published on: November 5, 2017

Related Experiment Videos

Last Updated: Jun 13, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Published on: November 5, 2017

Area of Science:

Biophysics
Computational Biology
Microscopy

Background:

Super-resolution microscopy enables nanoscale visualization of biological structures.
Accurate colocalization analysis requires integrating prior knowledge of local complex geometry.
Existing methods struggle with incomplete labeling and complex spatial arrangements.

Purpose of the Study:

To introduce MultiMatch, a novel computational tool for analyzing particle arrangements in multicolor super-resolution microscopy.
To develop an object-based colocalization model that accounts for incomplete labeling efficiencies.
To provide a user-friendly Python package for advanced colocalization analysis.

Main Methods:

Utilizes multi-marginal optimal unbalanced transport methodology for analyzing chain-like particle arrangements.
Employs an object-based colocalization model to statistically address incomplete labeling.
Applies the method to three-color STED images of DNA origami nanorulers.

Main Results:

MultiMatch successfully recovers existing chain structures in complex microscopy data.
The method demonstrates superior performance compared to geometry-uninformed triplet colocalization approaches.
The tool generalizes to an arbitrary number of color channels.

Conclusions:

MultiMatch offers a robust solution for analyzing spatial proximity in multicolor super-resolution microscopy.
The developed methodology improves the inference of particle arrangements, even with labeling limitations.
The Python package facilitates advanced colocalization analysis and visualization for researchers.