Скачать или смотреть Smartphone-based Microscopes with Applications in Infectious Diseases and Fertility Diagnostics

Demo Presenters:
● Hadi Shafiee, PhD, Assistant Professor of Medicine, Medicine

The advances in consumer electronics have turned smartphones, which are now ubiquitous, into powerful computers with an array of versatile sensors. Researchers at Shafiee Lab in the Department of Medicine have been developing new mobile health diagnostic systems with applications in medicine through the integration of modern smartphone capabilities, microfluidics, optical sensing accessories, and machine learning.

Through the utilization of smartphone microscopy and advanced image processing techniques for automated cytometry, motion tracking and optical pattern analyses, the team has developed and evaluated such systems for diagnostic applications in infectious diseases and infertility. Notable applications include Zika diagnosis through nanomotor motion analysis, SARS-CoV-2 detection through AI-based bubble analysis, HIV-management through cytometry, ovulation prediction through saliva fern pattern analysis and male infertility screening through semen analysis.

The high accuracy (90%), reliability, portability, simplicity and cost-effectiveness ($5) offered by such systems make them highly lucrative for point-of-care applications and can potentially pave the way for surveillance diagnostics in the future to help combat and improve preparedness against epidemics.