Automatically detects and counts bacterial or yeast colonies on a plate with computer vision and machine learning algorithms
ColonyCount is an open-source desktop application for automating the counting of bacterial or yeast colonies growing on agar plates. It eliminates the need for tedious manual counting using the traditional pen and paper method.
The software uses advanced computer vision and machine learning algorithms to automatically detect colonies on images of agar plates. It can identify and count various types of colonies of different sizes, shapes and textures. The counts are very accurate and comparable to those obtained via manual counting.
Some key features of ColonyCount:
Overall, ColonyCount greatly simplifies the colony quantification workflow in microbiology labs. It saves time and effort while providing reliable results. The open-source nature also allows it to be customized for specific needs.
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