利用图像处理对琼脂平板细菌菌落计数

Manao Bunkum, S. Visitsattapongse
{"title":"利用图像处理对琼脂平板细菌菌落计数","authors":"Manao Bunkum, S. Visitsattapongse","doi":"10.18178/ijpmbs.11.3.48-53","DOIUrl":null,"url":null,"abstract":"—Many pathogenic bacteria could cause human diseases. For example, the important diseases are pneumonia and foodborne illnesses, which could be caused by Pseudomonas sp. and Salmonella sp. respectively. Direct bacteria counting methods from blood or body fluid are the best methods that could give crucial information regarding the health situation of a person, a specialist oversees these methods. For the direct counting, an error could occur from eye fatigue. In this research, image processing was applied to automatic bacteria colony counting. This method can reduce the error. In this research, MATLAB software was applied to bacterial colony counting. Salmonella enterica, Staphylococcus aureus, Escherichia coli, Serratia marcescens, and Pseudomonas aeruginosa were selected as samples. This method had an accuracy of more than 90% and could reduce human error and improve counting efficiency.","PeriodicalId":281523,"journal":{"name":"International Journal of Pharma Medicine and Biological Sciences","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Bacterial Colonies on Agar Plate Counting Using Image Processing\",\"authors\":\"Manao Bunkum, S. Visitsattapongse\",\"doi\":\"10.18178/ijpmbs.11.3.48-53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"—Many pathogenic bacteria could cause human diseases. For example, the important diseases are pneumonia and foodborne illnesses, which could be caused by Pseudomonas sp. and Salmonella sp. respectively. Direct bacteria counting methods from blood or body fluid are the best methods that could give crucial information regarding the health situation of a person, a specialist oversees these methods. For the direct counting, an error could occur from eye fatigue. In this research, image processing was applied to automatic bacteria colony counting. This method can reduce the error. In this research, MATLAB software was applied to bacterial colony counting. Salmonella enterica, Staphylococcus aureus, Escherichia coli, Serratia marcescens, and Pseudomonas aeruginosa were selected as samples. This method had an accuracy of more than 90% and could reduce human error and improve counting efficiency.\",\"PeriodicalId\":281523,\"journal\":{\"name\":\"International Journal of Pharma Medicine and Biological Sciences\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Pharma Medicine and Biological Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18178/ijpmbs.11.3.48-53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharma Medicine and Biological Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/ijpmbs.11.3.48-53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

-许多致病菌可引起人类疾病。例如,重要的疾病是肺炎和食源性疾病,它们分别可能由假单胞菌和沙门氏菌引起。从血液或体液中直接计数细菌的方法是最好的方法,可以提供有关一个人的健康状况的关键信息,专家监督这些方法。对于直接计数,由于眼睛疲劳可能会出现误差。本研究将图像处理应用于细菌菌落自动计数。这种方法可以减小误差。本研究采用MATLAB软件进行菌落计数。选取肠沙门氏菌、金黄色葡萄球菌、大肠埃希菌、粘质沙雷菌和铜绿假单胞菌作为样本。该方法可有效减少人为误差,提高计数效率,准确率达90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bacterial Colonies on Agar Plate Counting Using Image Processing
—Many pathogenic bacteria could cause human diseases. For example, the important diseases are pneumonia and foodborne illnesses, which could be caused by Pseudomonas sp. and Salmonella sp. respectively. Direct bacteria counting methods from blood or body fluid are the best methods that could give crucial information regarding the health situation of a person, a specialist oversees these methods. For the direct counting, an error could occur from eye fatigue. In this research, image processing was applied to automatic bacteria colony counting. This method can reduce the error. In this research, MATLAB software was applied to bacterial colony counting. Salmonella enterica, Staphylococcus aureus, Escherichia coli, Serratia marcescens, and Pseudomonas aeruginosa were selected as samples. This method had an accuracy of more than 90% and could reduce human error and improve counting efficiency.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信