Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation
Issued Date
2022-01-01
Resource Type
Scopus ID
2-s2.0-85139443352
Journal Title
2022 7th International Conference on Signal and Image Processing, ICSIP 2022
Start Page
442
End Page
445
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SCOPUS
Bibliographic Citation
2022 7th International Conference on Signal and Image Processing, ICSIP 2022 (2022) , 442-445
Suggested Citation
Khamdee N., Juntarapornchai S., Auethavekiat S. Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation. 2022 7th International Conference on Signal and Image Processing, ICSIP 2022 (2022) , 442-445. 445. doi:10.1109/ICSIP55141.2022.9886562 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/84358
Title
Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
Virus quantification is the necessary step for measuring the vaccine efficiency. Plaque assay is the most popular method and quantified the virus in term of a Plaque Forming Unit (PFU). In this paper, a semi-automatic method for plaque assay from image taken by a mobile phone is proposed. Two thresholds in different color spaces are used to extract the PFUs: one for PFU at the center and one for PFU at the edge of a well. The cluster of PFU is segmented in two stages. In the first stage, watershed segmentation based on distance transform is applied to segment the distinct and large PFUs. In the second stage, the size is used to separate the blurry PFUs. The proposed method achieved 94% precision, 92% sensitivity and 6% counting error in the experiment on 30 samples stained with neutral red color.