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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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An infrastructure for high-throughput microscopy: instrumentation, informatics, and integration.

Eugeni A Vaisberg¹, David Lenzi, Richard L Hansen

¹Cytokinetics Inc., South San Francisco, CA, USA.

Methods in Enzymology

|November 18, 2006

Summary

Building a robust infrastructure is key for large-scale, high-throughput cell imaging assays. This involves integrated automation and informatics systems to overcome bottlenecks in sample preparation, image acquisition, and data analysis for efficient research.

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Subcellular Imaging of Neuronal Calcium Handling In Vivo

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Published on: March 17, 2023

Area of Science:

Cell Biology
Drug Discovery
Bioinformatics

Background:

High-throughput, image-based cell assays are increasingly vital in pharmaceutical research and academic cell biology.
While reagents and automated microscopes are accessible, scaling these assays presents significant challenges.
Common hurdles include bottlenecks in sample preparation, image acquisition, data analysis, and managing large datasets.

Purpose of the Study:

To outline critical decisions for establishing a robust infrastructure for large-scale cell imaging assays.
To address challenges in process bottlenecks, data management, and assay consistency.
To guide the development of scalable, efficient, and quality-controlled assay workflows.

Main Methods:

Integration of laboratory automation systems for streamlined sample preparation and imaging.
Development of an informatics infrastructure supporting multilevel image and data analysis.
Implementation of strategies for scalability, efficiency, and rigorous quality control.

Main Results:

The proposed infrastructure addresses key bottlenecks in high-throughput cell assay workflows.
Integrated automation and informatics facilitate efficient data handling and analysis.
Emphasis on scalable, efficient, and quality-controlled processes ensures reliable large-scale assay performance.

Conclusions:

A well-designed infrastructure is essential for overcoming the challenges of large-scale, image-based cell assays.
Integrated automation and informatics are crucial components for efficient drug discovery and cell biology research.
Adopting scalable, efficient, and quality-controlled strategies maximizes the utility of high-throughput cell imaging data.