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

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...

You might also read

Related Articles

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

Sort by
Same author

Phototoxicity of brightfield live-cell imaging on murine ovarian follicles.

Archives of gynecology and obstetricsยท2026
Same author

Arf1 is involved in Neisseria meningitidis-induced cortical branched F-actin network reorganization.

EMBO reportsยท2026
Same author

Enhancer RNA Transcription Near Segmentation Gene Enhancers Can Be Analyzed In Situ Using FISH.

G3 (Bethesda, Md.)ยท2026
Same author

SAMJ: fast image annotation on ImageJ/Fiji via segment anything model.

Nature communicationsยท2026
Same author

TIM3 Signaling in Effector T Cells Acts as an Immunometabolic Switch in the Purine Degradation Pathway to Suppress Intestinal Inflammation.

Gastroenterologyยท2026
Same author

Adhesion-controlled mechanics of the glial niche regulate neural stem cell proliferative potential.

Developmental cellยท2026

Related Experiment Video

Updated: May 20, 2026

EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji
10:09

EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji

Published on: February 20, 2026

Fiji: an open-source platform for biological-image analysis.

Johannes Schindelin1, Ignacio Arganda-Carreras, Erwin Frise

  • 1Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Nature Methods
|June 30, 2012
PubMed
Summary

Fiji, an open-source software distribution for ImageJ, enhances biological image analysis through rapid algorithm prototyping and plugin development. It serves as a collaborative platform for computer science and biology researchers.

More Related Videos

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

Related Experiment Videos

Last Updated: May 20, 2026

EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji
10:09

EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji

Published on: February 20, 2026

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

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Scientific Image Analysis

Background:

  • ImageJ is a widely used open-source software platform for scientific image analysis.
  • Developing and integrating new image processing algorithms can be complex and time-consuming.
  • Bridging the gap between computer science algorithm development and biological application is crucial.

Purpose of the Study:

  • To introduce Fiji as a specialized distribution of ImageJ tailored for biological image analysis.
  • To highlight Fiji's capabilities in facilitating rapid prototyping and development of image processing algorithms.
  • To propose Fiji as a collaborative platform for computer science and biology research.

Main Methods:

  • Leveraging modern software engineering practices.
  • Integrating powerful software libraries.
  • Supporting a broad range of scripting languages for algorithm development.
  • Utilizing an integrated update system for plugin distribution.

Main Results:

  • Fiji enables rapid prototyping of image processing algorithms.
  • New algorithms can be efficiently transformed into ImageJ plugins.
  • Plugins developed in Fiji can be easily shared with end-users.
  • Fiji fosters a streamlined workflow for algorithm implementation and dissemination.

Conclusions:

  • Fiji provides a robust platform for advanced biological image analysis.
  • The software promotes efficient collaboration between computer scientists and biologists.
  • Fiji accelerates the translation of computational tools into biological research applications.