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DOI 10.1126/scitranslmed.aai7863

Медицинская библиотека · Science translational medicine · 2017

An automated smartphone-based diagnostic assay for point-of-care semen analysis.

Kanakasabapathy Manoj Kumar, Sadasivam Magesh, Singh Anupriya, Preston Collin, Thirumalaraju Prudhvi, Venkataraman Maanasa, Bormann Charles L, Draz Mohamed Shehata, Petrozza John C, Shafiee Hadi

СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

Male infertility affects up to 12% of the world's male population and is linked to various environmental and medical conditions. Manual microscope-based testing and computer-assisted semen analysis (CASA) are the current standard methods to diagnose male infertility; however, these methods are labor-intensive, expensive, and laboratory-based. Cultural and socially dominated stigma against male infertility testing hinders a large number of men from getting tested for infertility, especially in resource-limited African countries. We describe the development and clinical testing of an automated smartphone-based semen analyzer designed for quantitative measurement of sperm concentration and motility for point-of-care male infertility screening. Using a total of 350 clinical semen specimens at a fertility clinic, we have shown that our assay can analyze an unwashed, unprocessed liquefied semen sample with <5-s mean processing time and provide the user a semen quality evaluation based on the World Health Organization (WHO) guidelines with ~98% accuracy. The work suggests that the integration of microfluidics, optical sensing accessories, and advances in consumer electronics, particularly smartphone capabilities, can make remote semen quality testing accessible to people in both developed and developing countries who have access to smartphones.

Для цитирования: Kanakasabapathy Manoj Kumar, Sadasivam Magesh, Singh Anupriya, Preston Collin, Thirumalaraju Prudhvi, Venkataraman Maanasa, Bormann Charles L, Draz Mohamed Shehata, Petrozza John C, Shafiee Hadi. An automated smartphone-based diagnostic assay for point-of-care semen analysis.. Science translational medicine. 2017. DOI: 10.1126/scitranslmed.aai7863.

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