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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...

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Related Experiment Video

Updated: Jun 19, 2026

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

Open source bioimage informatics for cell biology.

Jason R Swedlow¹, Kevin W Eliceiri

¹Wellcome Trust Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dundee, Scotland DD1 5EH, UK. jason@lifesci.dundee.ac.uk

Trends in Cell Biology

|October 17, 2009

Summary

This summary is machine-generated.

Open source bioimage informatics tools are crucial for advancing cell biology research by enabling the analysis of complex imaging data. These computational tools accelerate scientific discovery through accessible and collaborative platforms.

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Area of Science:

Cell Biology
Computational Biology
Bioinformatics

Background:

Recent technological advancements in imaging, molecular biology, and genomics have revolutionized cell biology.
Computational tools are essential for managing and analyzing the large datasets generated by these advances.

Purpose of the Study:

To highlight the need for open source tools in bioimage informatics.
To identify key attributes of successful open source imaging applications.
To explore opportunities for enhancing operability and accelerating cell biology discovery.

Main Methods:

Discussion of the role of computational tools in modern cell biology.
Analysis of the benefits and characteristics of open source software in scientific research.
Identification of future directions for bioimage informatics development.

Main Results:

Bioimage informatics, a subfield of computational biology, leverages open source approaches.
Open source tools are vital for the routine visualization and measurement of cellular processes.
Key attributes contribute to the success of open source imaging applications.

Conclusions:

Open source bioimage informatics is critical for the future of cell biology research.
Further development in operability of these tools will significantly accelerate scientific discovery.
Collaboration and accessibility through open source models are key drivers of innovation.