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

Imaging Biological Samples with Optical Microscopy

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

Critical period plasticity enables credit assignment.

bioRxiv : the preprint server for biology·2026

Same author

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

Nature communications·2026

Same author

Search, organize, aggregate and share image data with BioFile Finder (BFF).

Nature methods·2026

Same author

Remotely accessible optical microscopy education through a wide (and global) lens.

Journal of microscopy·2026

Same author

EpiCure (Epithelial Curation): a versatile and handy tool for curation of epithelial segmentation.

bioRxiv : the preprint server for biology·2026

Same author

Introducing ARONG, A 3D Reconstruction Method for Highly Deformed Histology.

Journal of imaging informatics in medicine·2026

Search research articles

Related Experiment Video

Updated: Apr 7, 2026

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

The ImageJ ecosystem: An open platform for biomedical image analysis.

Johannes Schindelin¹, Curtis T Rueden¹, Mark C Hiner¹

¹Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin.

Molecular Reproduction and Development

|July 9, 2015

Summary

Open-source software like ImageJ is crucial for advancing biomedical imaging analysis. Its accessibility and community foster innovation in life sciences research.

More Related Videos

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Published on: June 19, 2017

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

Related Experiment Videos

Last Updated: Apr 7, 2026

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Published on: June 19, 2017

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

Area of Science:

Biomedical Imaging
Scientific Software Development
Life Sciences

Background:

Rapid advancements in microscopy necessitate sophisticated image processing techniques.
Software accessibility is key for scientific inquiry, with open-source platforms being ideal.
ImageJ has significantly impacted life sciences due to its open-source nature.

Purpose of the Study:

To examine the ImageJ project as a case study for open-source software in scientific analysis.
To explore the factors contributing to ImageJ's popularity and impact.
To understand how ImageJ influences and is influenced by its ecosystem.

Main Methods:

Review of the ImageJ project's development and impact.
Analysis of ImageJ's features, community, and extensibility.
Case study approach focusing on open-source software principles.

Main Results:

ImageJ's free availability and strong user community have driven its widespread adoption.
The software supports diverse applications from data visualization to advanced statistical analysis.
ImageJ's extensibility attracts a broad user base, including biologists and computer scientists.

Conclusions:

Open-source software, exemplified by ImageJ, democratizes advanced image analysis technology for the scientific community.
ImageJ's success highlights the power of open collaboration in scientific tool development.
The ImageJ ecosystem demonstrates a model for coevolving, mutually beneficial software projects.