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...

You might also read

Related Articles

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

Sort by

Same author

Fermented feed-rumen microbiota axis mediates goat kid growth via microbial amino acid synthesis and ruminal epithelial energy metabolism.

NPJ biofilms and microbiomes·2026

Same author

Impact of Corneal Microbial Latency Detected by Metagenomic next-generation sequencing on Postoperative Recovery Following Keratorefractive lenticule extraction.

Journal of cataract and refractive surgery·2026

Same author

Box-Free Model Watermarks Are Prone to Black-Box Removal Attacks.

IEEE transactions on pattern analysis and machine intelligence·2026

Same author

Rational modulation of immune mechanisms synergizes the anti-tumor effects of targeted radiation therapy in pre-clinical models.

Frontiers in immunology·2026

Same author

A Label-Free Optical Biosensor Based on Ordered Porous Layer Interferometry for IgG Quantification in Milk.

Journal of AOAC International·2026

Same author

Synergistic Modulation of Ru-O Bond Covalency via Ba/Fe Co-Doping and Oxygen-Vacancy Engineering for Efficient Wide-pH Oxygen Evolution.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same journal

Multimodal data fusion in neuroscience: promises, challenges and future directions.

IEEE signal processing magazine·2026

Same journal

The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspects.

IEEE signal processing magazine·2026

Same journal

Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities.

IEEE signal processing magazine·2026

Same journal

Domain-Randomized Deep Learning for Neuroimage Analysis: Selecting Training Strategies, Navigating Challenges, and Maximizing Benefits.

IEEE signal processing magazine·2025

Same journal

Emerging Brain-to-Content Technologies from Generative AI and Deep Representation Learning.

IEEE signal processing magazine·2025

Same journal

Advances in Behavioral Science Using Automated Facial Image Analysis and Synthesis.

IEEE signal processing magazine·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 7, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Quantitative Aspects of Single Molecule Microscopy.

Raimund J Ober, Amir Tahmasbi, Sripad Ram

IEEE Signal Processing Magazine

|July 14, 2015

Summary

This summary is machine-generated.

Single molecule microscopy enables detection of individual molecules for biological insights. Advanced signal processing is crucial for analyzing low-signal, noisy data in this advanced imaging technique.

More Related Videos

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Published on: April 19, 2019

Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends

Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends

Published on: March 15, 2014

Related Experiment Videos

Last Updated: Apr 7, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Published on: April 19, 2019

Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends

Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends

Published on: March 15, 2014

Area of Science:

Biophysics
Biochemistry
Cell Biology

Background:

Single molecule microscopy allows detection of individual molecules, offering novel insights into cellular processes.
Traditional methods are limited in resolving subcellular structures and dynamics.
This technique requires advanced experimental and algorithmic tools due to low signal and high noise.

Purpose of the Study:

To provide a comprehensive overview of single molecule microscopy.
To emphasize the quantitative aspects, including localization and resolvability.
To discuss current applications, challenges, and future directions.

Main Methods:

Review of early works and current applications.
Information-theoretic perspective on single molecule localization and resolvability.
Discussion of stochastic image formation, estimation techniques, and Fisher information matrix.

Main Results:

Overview of single molecule microscopy from inception to present.
Detailed examination of quantitative imaging aspects.
Identification of open problems requiring advanced signal processing.

Conclusions:

Single molecule microscopy is a powerful tool for biological discovery.
Advanced statistical signal and image processing are essential for data analysis.
Further development in signal processing is needed to address open challenges.