Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation
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 thresh...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Conference or Workshop Item |
Published: |
2023
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/84358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
id |
th-mahidol.84358 |
---|---|
record_format |
dspace |
spelling |
th-mahidol.843582023-06-19T00:03:20Z Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation Khamdee N. Mahidol University Computer Science 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. 2023-06-18T17:03:20Z 2023-06-18T17:03:20Z 2022-01-01 Conference Paper 2022 7th International Conference on Signal and Image Processing, ICSIP 2022 (2022) , 442-445 10.1109/ICSIP55141.2022.9886562 2-s2.0-85139443352 https://repository.li.mahidol.ac.th/handle/123456789/84358 SCOPUS |
institution |
Mahidol University |
building |
Mahidol University Library |
continent |
Asia |
country |
Thailand Thailand |
content_provider |
Mahidol University Library |
collection |
Mahidol University Institutional Repository |
topic |
Computer Science |
spellingShingle |
Computer Science Khamdee N. Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation |
description |
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. |
author2 |
Mahidol University |
author_facet |
Mahidol University Khamdee N. |
format |
Conference or Workshop Item |
author |
Khamdee N. |
author_sort |
Khamdee N. |
title |
Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation |
title_short |
Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation |
title_full |
Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation |
title_fullStr |
Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation |
title_full_unstemmed |
Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation |
title_sort |
semi-automatic pfu counting method by double thresholding and two-stage segmentation |
publishDate |
2023 |
url |
https://repository.li.mahidol.ac.th/handle/123456789/84358 |
_version_ |
1781416366438350848 |