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

Potluri V, Kathiresan PS, Kandula H, Thirumalaraju P, Kanakasabapathy MK, Kota Sai Pavan S, Yarravarapu D, Soundararajan A, Baskar K, Gupta R, Gudipati N, Petrozza JC, Shafiee H

doi:10.1039/c8lc00792f

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

Karthik Baskar, Raghav Gupta, Manoj Kumar Kanakasabapathy, Hemanth Kandula, Sandeep Kota Sai Pavan, John C Petrozza, Vaishnavi Potluri, Hadi Shafiee, Prudhvi Thirumalaraju, Divyank Yarravarapu, Neeraj Gudipati, Preethi Sangeetha Kathiresan, Anand Soundararajan

Brigham and Women's Hospital ROR
Harvard University ROR

Lab on a Chip, 19(1), 59-67

DOI 10.1039/c8lc00792f PMID 30534677

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.

Topics

Fertility Awareness > Technology > Smartphone Ovulation Detection Diagnostics > Ovulation Testing > Salivary Ferning Point-of-Care Body Literacy > Natural Family Planning > Affordable Fertility Monitoring

Potluri Shafiee smartphone saliva ferning ovulation detection AI 99% accuracy, point-of-care microfluidic device salivary crystallization ovulation prediction, artificial intelligence automated fern pattern recognition ovulation testing, low-cost home ovulation monitor saliva less than 100 microliters air-dried sample, smartphone-based diagnostics natural family planning ovulation confirmation, LH urine test alternative salivary ferning digital image analysis fertility, microfluidic chip saliva drying artificial saliva human validation Lab on Chip, estrogen-driven salivary ferning pattern detection deep learning classification, affordable point-of-care fertility monitor couples natural conception timing, wearable device-free ovulation test low-resource settings smartphone camera

PMID 30534677 30534677 DOI 10.1039/c8lc00792f 10.1039/c8lc00792f

Cite this article

Potluri, V., Kathiresan, P. S., Kandula, H., Thirumalaraju, P., Kanakasabapathy, M. K., Kota Sai Pavan, S., Yarravarapu, D., Soundararajan, A., Baskar, K., Gupta, R., Gudipati, N., C Petrozza, J., & Shafiee, H. (2018). An inexpensive smartphone-based device for point-of-care ovulation testing. *Lab on a chip*, *19*(1), 59-67. https://doi.org/10.1039/c8lc00792f