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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

10.1K
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...
10.1K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.6K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.6K
Overview of Electron Microscopy01:25

Overview of Electron Microscopy

11.8K
The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.
11.8K

You might also read

Related Articles

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

Sort by
Same author

A Versatile Multiplexed Immunofluorescence Strategy for Efficient, Host-Independent, and Scalable Spatial Protein Profiling.

Small methods·2026
Same author

Research on Thermal Insulation and Durability of Bio-Based Thermal Insulation Materials and Its Prospect of Engineering Application.

Materials (Basel, Switzerland)·2026
Same author

Automated Cyclic Super-Resolution Microscopy for Nanoscale Protein Mapping.

bioRxiv : the preprint server for biology·2026
Same author

Combined effects of polymer/substrate interaction and chain adsorption on the Tg-confinement effect of supported thin polystyrene films.

The Journal of chemical physics·2026
Same author

An Azobenzene-Bridged Nonporous Adaptive Framework Enables Photo-Regulated Desorption of Iodine.

Angewandte Chemie (International ed. in English)·2025
Same author

A nickel-catalyzed isocyanide insertion reaction with aromatic amines: direct access to open-chain guanidines.

Organic & biomolecular chemistry·2025

Related Experiment Video

Updated: Oct 16, 2025

Correlative Super-resolution and Electron Microscopy to Resolve Protein Localization in Zebrafish Retina
12:28

Correlative Super-resolution and Electron Microscopy to Resolve Protein Localization in Zebrafish Retina

Published on: November 10, 2017

9.7K

Enhanced super-resolution microscopy by extreme value based emitter recovery.

Hongqiang Ma1, Wei Jiang2,3, Jianquan Xu2

  • 1Biomedical and Optical Imaging Laboratory, Deparstments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA. hongqiang.ma@pitt.edu.

Scientific Reports
|October 15, 2021
PubMed
Summary

Heterogeneous background noise in super-resolution microscopy degrades image quality. The extreme value-based emitter recovery (EVER) method effectively recovers fluorescent emitters, enhancing nanoscale imaging fidelity for complex biological samples.

More Related Videos

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

4.0K
Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion
13:11

Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

Published on: February 10, 2023

1.7K

Related Experiment Videos

Last Updated: Oct 16, 2025

Correlative Super-resolution and Electron Microscopy to Resolve Protein Localization in Zebrafish Retina
12:28

Correlative Super-resolution and Electron Microscopy to Resolve Protein Localization in Zebrafish Retina

Published on: November 10, 2017

9.7K
Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

4.0K
Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion
13:11

Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

Published on: February 10, 2023

1.7K

Area of Science:

  • Biophysics
  • Microscopy
  • Image Analysis

Background:

  • Super-resolution localization microscopy offers nanoscale visualization of biological structures.
  • Heterogeneous background fluorescence significantly degrades resolution and introduces artifacts in super-resolution images.
  • Accurate nanoscale imaging is crucial for understanding cellular and tissue architecture.

Purpose of the Study:

  • To investigate and validate an efficient method for recovering distorted fluorescent emitters from heterogeneous backgrounds.
  • To improve the fidelity and reduce artifacts in super-resolution images affected by background noise.
  • To provide a robust solution for nanoscale imaging in challenging biological samples.

Main Methods:

  • Development and validation of the extreme value-based emitter recovery (EVER) algorithm.
  • Numerical simulations to assess EVER's performance under various imaging conditions.
  • Application of EVER to biological samples, including thicker tissues and cells, using ImageJ plugin.

Main Results:

  • EVER accurately recovers distorted fluorescent emitters, significantly improving super-resolution image fidelity.
  • The method demonstrates robustness across a wide range of imaging characteristics and heterogeneous background conditions.
  • EVER requires no manual parameter adjustment, simplifying its application.

Conclusions:

  • EVER is an efficient and robust method for accurate nanoscale imaging in the presence of heterogeneous background fluorescence.
  • The developed ImageJ plugin provides an easy-to-use tool for enhancing super-resolution image quality.
  • This approach facilitates reliable visualization of biological structures in complex samples like thick tissues and cells.