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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

8.6K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
8.6K
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

934
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
934
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

684
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
684
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.7K
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...
2.7K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.8K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
11.8K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.1K
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...
12.1K

You might also read

Related Articles

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

Sort by
Same author

Untrained Position-Encoded Multilayer Perceptron Network for Structured Illumination Microscopy Reconstruction.

Chemical & biomedical imaging·2026
Same author

Label-free correlative morpho-chemical tomography of 3D kidney mesangial cells.

Journal of biomedical optics·2026
Same author

3D Mitochondria Shape Library for Optical Microscopy (3DMSL): A multimodal dataset for deep learning based mitochondrial analysis.

Data in brief·2026
Same author

Optical super-resolution histology of formalin-fixed paraffin-embedded tissue samples: challenges and opportunities.

Nature communications·2025
Same author

Chip-based label-free incoherent super-resolution optical microscopy.

Light, science & applications·2025
Same author

Co-linear Hexa-Mirror-Based Multi-Periodic Structured Illumination Microscopy.

Nano letters·2025

Related Experiment Video

Updated: Dec 19, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.4K

MusiJ: an ImageJ plugin for video nanoscopy.

Sebastian Acuña1,2, Florian Ströhl1,2, Ida S Opstad1

  • 1Department of Physics and Technology, UiT The Arctic University of Norway, NO-9037 Tromsø, Norway.

Biomedical Optics Express
|June 6, 2020
PubMed
Summary

We developed an open-source ImageJ plugin for MUSICAL nanoscopy, significantly accelerating super-resolution image reconstruction. This tool enables efficient multi-color super-resolution video imaging of dynamic biological systems.

More Related Videos

Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes
09:30

Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

Published on: May 24, 2019

7.7K
Behavioral Tracking and Neuromast Imaging of Mexican Cavefish
14:58

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Published on: April 6, 2019

8.2K

Related Experiment Videos

Last Updated: Dec 19, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.4K
Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes
09:30

Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

Published on: May 24, 2019

7.7K
Behavioral Tracking and Neuromast Imaging of Mexican Cavefish
14:58

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Published on: April 6, 2019

8.2K

Area of Science:

  • Microscopy
  • Biophysics
  • Computational Biology

Background:

  • Super-resolution microscopy techniques are crucial for visualizing cellular structures at the nanoscale.
  • Fluctuation-based nanoscopy methods offer unique advantages for imaging dynamic processes.
  • Existing implementations may have limitations in speed and accessibility for complex biological samples.

Purpose of the Study:

  • To introduce an open-source ImageJ plugin for the MUSICAL (Microscopy with Ultrasonic Contrast) nanoscopy method.
  • To enhance the computational efficiency and speed of MUSICAL reconstructions.
  • To enable user-friendly, multi-color super-resolution video imaging of dynamic biological systems.

Main Methods:

  • Developed an open-source plugin for ImageJ, integrating the MUSICAL algorithm.
  • Implemented multi-threading for parallel processing to accelerate image reconstruction.
  • Utilized interleaved reconstruction for generating super-resolution videos from time-lapse image stacks.

Main Results:

  • Achieved orders of magnitude faster reconstruction times compared to the original MATLAB implementation.
  • Demonstrated the capability to generate high-resolution videos from large image datasets.
  • Enabled efficient multi-color super-resolution imaging of dynamic biological processes.

Conclusions:

  • The open-source ImageJ plugin significantly improves the accessibility and speed of MUSICAL nanoscopy.
  • This implementation facilitates advanced research in dynamic cellular processes using super-resolution microscopy.
  • The tool empowers researchers to perform multi-color super-resolution video imaging with greater ease and efficiency.