{"title":"Application of Artificial Intelligence for quantifying Plasmodium berghei in blood samples from infected mice.","authors":"Noha Talal Zelai","doi":"10.4103/JVBD.JVBD_86_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background objectives: </strong>In malaria infection, quantifying blood parasitemia is a critical step for evaluating the severity of the disease. This has generally been conducted manually, and thus, its accuracy depends on the expertise of technicians. There is an urgent need for an automated technique to overcome manual errors. The aim of the study is to find an alternative method for counting malaria blood parasitemia.</p><p><strong>Methods: </strong>This study evaluated the accuracy of automated counting using QuPath compared to manual counting. GraphPad Kappa evaluated agreement between high and low parasitemia in both counting methods using Cohen's test.</p><p><strong>Results: </strong>QuPath was revealed to be a promising method that has fair agreement and no statistically significant differences compared to manual counting.</p><p><strong>Interpretation conclusion: </strong>In conclusion, automated quantification is suggested to be a time- and effort-saving technique and, therefore, a worthwhile alternative to manual counting.</p>","PeriodicalId":17660,"journal":{"name":"Journal of Vector Borne Diseases","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Vector Borne Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/JVBD.JVBD_86_24","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Background objectives: In malaria infection, quantifying blood parasitemia is a critical step for evaluating the severity of the disease. This has generally been conducted manually, and thus, its accuracy depends on the expertise of technicians. There is an urgent need for an automated technique to overcome manual errors. The aim of the study is to find an alternative method for counting malaria blood parasitemia.
Methods: This study evaluated the accuracy of automated counting using QuPath compared to manual counting. GraphPad Kappa evaluated agreement between high and low parasitemia in both counting methods using Cohen's test.
Results: QuPath was revealed to be a promising method that has fair agreement and no statistically significant differences compared to manual counting.
Interpretation conclusion: In conclusion, automated quantification is suggested to be a time- and effort-saving technique and, therefore, a worthwhile alternative to manual counting.
期刊介绍：
National Institute of Malaria Research on behalf of Indian Council of Medical Research (ICMR) publishes the Journal of Vector Borne Diseases. This Journal was earlier published as the Indian Journal of Malariology, a peer reviewed and open access biomedical journal in the field of vector borne diseases. The Journal publishes review articles, original research articles, short research communications, case reports of prime importance, letters to the editor in the field of vector borne diseases and their control.
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