Smartphone-based optical system for sperm viability testing

Bormann, Charles L.; Kanakasabapathy, Manoj Kumar; Thirumalaraju, Prudhvi; Yogesh, Vinish; Natarajan, V.; Demick, J.; Blanchard, A.; Shafiee, Hadi

doi:10.1016/j.fertnstert.2017.07.234

Cited by 1 publication

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“…More than 4.4 billion people across the globe use smartphones making it an excellent candidate for the development of point-of-care technologies 18 . In fact, smartphone cameras have been used in point-of-care tests for both qualitative and quantitative detection of clinically relevant biomarkers for disease detection or treatment monitoring such as HIV/AIDS and syphilis detection 19–21 , herpes 22 , sickle cell 23 , male infertility 24–29 , and Zika 30, 31 .…”

Section: Introductionmentioning

confidence: 99%

An inexpensive smartphone-based device for point-of-care ovulation testing

et al. 2019

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The ability to accurately predict ovulation at-home using low-cost point-of-care diagnostics can be of significant help for couples who prefer natural family planning. Detecting ovulation-specific hormones in urine samples and monitoring basal body temperature are the current commonly home-based methods used for ovulation detection; however, these methods, relatively, are expensive for prolonged use and the results are difficult to comprehend. Here, we report a smartphone-based point-of-care device for automated ovulation testing using artificial intelligence (AI) by detecting fern patterns in a small volume (<100μL) of saliva that is air-dried on a microfluidic device. We evaluated the performance of the device using artificial saliva and human saliva samples and observed that the device showed >99% accuracy in effectively predicting ovulation.

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