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Imaging Biological Samples with Optical Microscopy

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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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A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

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Published on: June 23, 2023

Feedback regulation of microscopes by image processing.

Yuki Tsukada¹, Koichi Hashimoto

¹Group of Molecular Neurobiology, Division of Biological Science, Graduate School of Science, Nagoya University, Furou-cho, Chikusa-ku, Nagoya, 464-8602, Japan. tsukada.yuki@nucc.cc.nagoya-u.ac.jp

Development, Growth & Differentiation

|April 19, 2013

Summary

This summary is machine-generated.

Automated microscope regulation using computational microscopy and feedback control enables high-throughput biological imaging. This approach is essential for managing complex systems and capturing dynamic phenomena.

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Area of Science:

Biomedical imaging
Computational microscopy
Systems biology

Background:

Modern biological imaging relies on complex microscope systems requiring precise parameter orchestration.
Automated regulation is crucial for managing these intricate systems and achieving optimal image acquisition.

Purpose of the Study:

To review the fundamentals of computational microscopy for developing automatically regulated microscopes.
To highlight the importance of feedback regulation in automated microscopy systems.

Main Methods:

Focus on feedback regulation strategies driven by image processing.
Summarize techniques for automated control in computational microscopy.

Main Results:

Computational microscopy enables automated regulation of complex microscope systems.
Feedback regulation through image processing facilitates high-throughput data acquisition.

Conclusions:

Automated regulation is indispensable for modern biological imaging.
Computational microscopy with feedback control is key to monitoring dynamic biological phenomena efficiently.