South Florida Hospital News
Tuesday March 26, 2019
Quote

test 2

March 2019 - Volume 15 - Issue 9

Subscribe

Advertisements

NovaMPH.jpg

Selfies to Self-diagnosis: Algorithm ‘Amps Up’ Smartphones to Diagnose Disease

Accessible, connected, and computationally powerful, smartphones aren’t just for “selfies” anymore. They have emerged as powerful evaluation tools capable of diagnosing medical conditions in point-of-care settings. Smartphones also are a viable solution for health care in the developing world because they allow untrained users to collect and transmit data to medical professionals.

Although smartphone camera technology today offers a wide range of medical applications such as microscopy and cytometric analysis, in practice, cell phone image tests have limitations that severely restrict their utility. Addressing these limitations requires external smartphone hardware to obtain quantitative results – imposing a design tradeoff between accessibility and accuracy.
 
Researchers from Florida Atlantic University’s College of Engineering and Computer Science have developed a novel cell phone imaging algorithm that enables analysis of assays typically evaluated via spectroscopy, a highly sophisticated and powerful device used in scientific research.
 
Through the analysis of more than 10,000 images, the researchers have been able to demonstrate that the saturation method they developed consistently outperformed existing algorithms under a wide range of operating field conditions. Their findings, published in the journal Analyst of the Royal Society of Chemistry, is a step forward in developing point-of-care diagnostics by reducing the need for required equipment, improving the limit of detection, and increasing the precision of quantitative results.
Share |