Spotsizer: High-throughput quantitative analysis of microbial growth.

Area of Science:

• Microbiology
• Bioinformatics
• Computational Biology

Background:

• Microbial colony growth is a valuable metric for genetic interaction and chemical compound screening.
• Existing computational tools for colony measurement often have limitations in image compatibility, installation, and usability.
• Automated, user-friendly software is needed for efficient high-throughput microbial analysis.

Purpose of the Study:

• To introduce Spotsizer, a novel software tool for automated measurement of microbial colony size.
• To provide a user-friendly and flexible solution for analyzing images of robotically arrayed microbial colonies.
• To demonstrate the utility of Spotsizer in high-throughput quantitative analysis of microbial growth.

Main Methods:

• Spotsizer software with a graphical user interface (GUI) was developed for automated colony size measurement.
• The tool supports single-image and batch processing, accommodating various input image formats and colony grid layouts.
• The software was applied to quantify fission yeast growth in high-throughput assays.

Main Results:

• Spotsizer enables automated, quantitative measurement of microbial colony sizes from digital images.
• The software demonstrated flexibility with different image formats and colony arrangements.
• High-throughput analysis of fission yeast growth was successfully performed using Spotsizer, yielding rapid, accurate, and robust results.

Conclusions:

• Spotsizer offers a user-friendly and efficient solution for automated microbial colony size analysis.
• The software facilitates high-throughput quantitative studies of microbial growth, genetic interactions, and compound effects.
• Spotsizer enhances the accessibility and robustness of microbial growth assays.