TAMMiCol

TAMMiCol analyzes microbial colony morphology from two-dimensional top-down images by automating segmentation and quantitative extraction of morphological features for large-scale datasets.

Key Features:

• Input type support: Accepts two-dimensional top-down images of microbial colonies for analysis.
• Automated Binary Image Conversion: Converts images into binary format by automatically distinguishing colony and background pixels using an adaptive thresholding algorithm.
• Morphological quantification: Extracts quantitative morphological features from segmented colonies for downstream analysis.
• Batch Processing Capability: Supports import and simultaneous batch processing of multiple images to handle large datasets.
• Performance Superiority: Produces segmentation results that outperform standard methods and are comparable to manual processing.
• Data Export and Analysis Options: Exports binary data in CSV or MATLAB MAT formats and provides built-in statistical analysis features.

Scientific Applications:

• Microbial colony morphology studies: Enables large-scale quantification and comparison of colony shapes and structural features across conditions.
• Yeast nutrient-response experiments: Applied to Saccharomyces cerevisiae and used to identify that filamentous growth reached a maximum at 200 μM ammonium sulfate.
• Experimental microbiology and metabolic studies: Facilitates analysis of morphological phenotypes relevant to metabolic and growth-condition experiments.

Methodology:

Images are converted to binary segmentation using an adaptive thresholding algorithm that distinguishes colony from background, with support for batch image import/processing, export to CSV or MATLAB MAT formats, and built-in statistical analysis.