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Issue 1, 2019
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An inexpensive smartphone-based device for point-of-care ovulation testing

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Abstract

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 (<100 μL) 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.

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

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Supplementary files

Article information


Submitted
01 Aug 2018
Accepted
01 Nov 2018
First published
11 Dec 2018

Lab Chip, 2019,19, 59-67
Article type
Paper

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

V. Potluri, P. S. Kathiresan, H. Kandula, P. Thirumalaraju, M. K. Kanakasabapathy, S. Kota Sai Pavan, D. Yarravarapu, A. Soundararajan, K. Baskar, R. Gupta, N. Gudipati, J. C. Petrozza and H. Shafiee, Lab Chip, 2019, 19, 59
DOI: 10.1039/C8LC00792F

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