Automated Bacterial Colony Counting on Agar Plate

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dc.contributor.authorBunkum, Manao
dc.contributor.authorVisitsattapongse, Sarinporn
dc.date.accessioned2026-08-06T10:39:04Z
dc.date.available2026-08-06T10:39:04Z
dc.date.issued2023-01-01
dc.description.abstractIn several fields, such as microbiology research, medical diagnostics, and food safety evaluation, bacterial colony counting is extremely important. However, the method of manual counting is time-consuming, labor-intensive, and prone to human error. This research approached these problems by using MATLAB's image processing feature to automatically count the number of bacterial colonies on agar plates. This technique effectively detects bacterial colonies from photos of agar plates by using image analysis algorithms. The images of agar plates were captured while controlling the lighting and adjusting the size to achieve the highest possible image quality. This study encompassed 10 bacterial species, achieving an accuracy of approximately 80%. This level of precision underscores the reliability and effectiveness of our automated system.
dc.identifier.citationBmeicon 2023 15th Biomedical Engineering International Conference, 2023
dc.identifier.doi10.1109/BMEiCON60347.2023.10322069
dc.identifier.other2-s2.0-85179547624
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/13768
dc.sourceBmeicon 2023 15th Biomedical Engineering International Conference
dc.subjectBacterial Colony
dc.subjectCounting
dc.subjectImage Processing
dc.titleAutomated Bacterial Colony Counting on Agar Plate
dc.typeConference Paper

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