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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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 |
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Biochemistry, Genetics and Molecular Biology Pichet Ruenchit State-of-the-art techniques for diagnosis of medical parasites and arthropods |
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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. |
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Siriraj Hospital |
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Siriraj Hospital Pichet Ruenchit |
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Review |
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Pichet Ruenchit |
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Pichet Ruenchit |
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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 |
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State-of-the-art techniques for diagnosis of medical parasites and arthropods |
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State-of-the-art techniques for diagnosis of medical parasites and arthropods |
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state-of-the-art techniques for diagnosis of medical parasites and arthropods |
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2022 |
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https://repository.li.mahidol.ac.th/handle/123456789/76051 |
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