State-of-the-art techniques for diagnosis of medical parasites and arthropods

Conventional methods such as microscopy have been used to diagnose parasitic diseases and medical conditions related to arthropods for many years. Some techniques are considered gold standard methods. However, their limited sensitivity, specificity, and accuracy, and the need for costly reagents and...

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Main Author: Pichet Ruenchit
Other Authors: Siriraj Hospital
Format: Review
Published: 2022
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/76051
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spelling th-mahidol.760512022-08-04T15:06:16Z State-of-the-art techniques for diagnosis of medical parasites and arthropods Pichet Ruenchit Siriraj Hospital Biochemistry, Genetics and Molecular Biology Conventional methods such as microscopy have been used to diagnose parasitic diseases and medical conditions related to arthropods for many years. Some techniques are considered gold standard methods. However, their limited sensitivity, specificity, and accuracy, and the need for costly reagents and high-skilled technicians are critical problems. New tools are therefore continually being developed to reduce pitfalls. Recently, three state-of-the-art techniques have emerged: DNA barcoding, geometric morphometrics, and artificial intelligence. Here, data related to the three approaches are reviewed. DNA barcoding involves an analysis of a barcode sequence. It was used to diagnose medical parasites and arthropods with 95.0% accuracy. However, this technique still requires costly reagents and equipment. Geometric morphometric analysis is the statistical analysis of the patterns of shape change of an anatomical structure. Its accuracy is approximately 94.0–100.0%, and unlike DNA barcoding, costly reagents and equipment are not required. Artificial intelligence technology involves the analysis of pictures using well-trained algorithms. It showed 98.8–99.0% precision. All three approaches use computer programs instead of human interpretation. They also have the potential to be high-throughput technologies since many samples can be analyzed at once. However, the limitation of using these techniques in real settings is species coverage. 2022-08-04T08:06:16Z 2022-08-04T08:06:16Z 2021-09-01 Review Diagnostics. Vol.11, No.9 (2021) 10.3390/diagnostics11091545 20754418 2-s2.0-85114086207 https://repository.li.mahidol.ac.th/handle/123456789/76051 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114086207&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Biochemistry, Genetics and Molecular Biology
spellingShingle Biochemistry, Genetics and Molecular Biology
Pichet Ruenchit
State-of-the-art techniques for diagnosis of medical parasites and arthropods
description Conventional methods such as microscopy have been used to diagnose parasitic diseases and medical conditions related to arthropods for many years. Some techniques are considered gold standard methods. However, their limited sensitivity, specificity, and accuracy, and the need for costly reagents and high-skilled technicians are critical problems. New tools are therefore continually being developed to reduce pitfalls. Recently, three state-of-the-art techniques have emerged: DNA barcoding, geometric morphometrics, and artificial intelligence. Here, data related to the three approaches are reviewed. DNA barcoding involves an analysis of a barcode sequence. It was used to diagnose medical parasites and arthropods with 95.0% accuracy. However, this technique still requires costly reagents and equipment. Geometric morphometric analysis is the statistical analysis of the patterns of shape change of an anatomical structure. Its accuracy is approximately 94.0–100.0%, and unlike DNA barcoding, costly reagents and equipment are not required. Artificial intelligence technology involves the analysis of pictures using well-trained algorithms. It showed 98.8–99.0% precision. All three approaches use computer programs instead of human interpretation. They also have the potential to be high-throughput technologies since many samples can be analyzed at once. However, the limitation of using these techniques in real settings is species coverage.
author2 Siriraj Hospital
author_facet Siriraj Hospital
Pichet Ruenchit
format Review
author Pichet Ruenchit
author_sort Pichet Ruenchit
title State-of-the-art techniques for diagnosis of medical parasites and arthropods
title_short State-of-the-art techniques for diagnosis of medical parasites and arthropods
title_full State-of-the-art techniques for diagnosis of medical parasites and arthropods
title_fullStr State-of-the-art techniques for diagnosis of medical parasites and arthropods
title_full_unstemmed State-of-the-art techniques for diagnosis of medical parasites and arthropods
title_sort state-of-the-art techniques for diagnosis of medical parasites and arthropods
publishDate 2022
url https://repository.li.mahidol.ac.th/handle/123456789/76051
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