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Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Published on: January 13, 2023

Experimental setup and image processing method for automatic enumeration of bacterial colonies on agar plates.

Lola Hogekamp¹, Stefan H Hogekamp², Mario R Stahl¹

¹Institut für Lebensmittel- und Bioverfahrenstechnik, Max Rubner-Institut, Karlsruhe, Germany.

|June 25, 2020

Summary

This study presents an accessible automated colony counting system for microbiology, reducing costs and improving reproducibility. The low-budget, easy-to-use method overcomes barriers to adopting automated image analysis in many labs.

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Last Updated: Dec 17, 2025

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Published on: May 11, 2012

Area of Science:

Microbiology
Computer Vision
Laboratory Automation

Background:

Automated colony counting offers advantages like cost savings, reduced enumeration time, automatic documentation, reproducibility, and operator independence.
High-performance commercial systems or expert image processing knowledge are often required, posing a significant barrier for many laboratories.
Manual colony counting remains prevalent due to the cost and expertise needed for automated solutions.

Purpose of the Study:

To describe an easy-to-apply automated colony counting system.
To provide guidance on sample preparation for automated analysis.
To enable laboratories to implement automated colony counting with basic image processing knowledge and a low budget.

Main Methods:

Development of an automated colony counting system.
Integration of sample preparation techniques.
Utilizing basic image processing principles for system operation.

Main Results:

The described system is easy to apply.
It can be implemented with basic image processing knowledge.
The system operates on a low budget, making automated colony counting more accessible.

Conclusions:

Automated colony counting can be made accessible to laboratories with limited resources.
This system addresses the need for cost-effective and user-friendly automated image analysis in microbiology.
Adoption of automated colony counting can be facilitated by overcoming financial and expertise barriers.