Bahram Javidi, Ph.D.

AIMBE College of Fellows Class of 2007
For contributions to 3D optical imaging and microscopy for visualization and characterization of biological microorganisms.

Bahram Javidi Developing Rapid COVID-19 Testing

Via University of Connecticut | December 3, 2020

The COVID-19 pandemic has caused rapid changes across the globe in nearly every facet of life. Now, University of Connecticut professor of engineering Bahram Javidi is developing a low-cost, portable COVID-19 testing instrument to test for the virus just as quickly.

Through support from the Office of the Vice President for Research’s COVID-19 Research Seed Funding (COVID-RSF2) Program, Javidi is developing a novel technology with the potential to improve COVID-19 testing capacities. Javidi has appointments in the School of Engineering’s Departments of Electrical and Computer Engineering and Biomedical Engineering… Continue reading.

New 3D printed microscope promising for medical diagnostics in developing countries

Via EurekAlert | April 29, 2019

Researchers have used 3D printing to make an inexpensive and portable high-resolution microscope that is small and robust enough to use in the field or at the bedside. The high-resolution 3D images provided by the instrument could potentially be used to detect diabetes, sickle cell disease, malaria and other diseases.

“This new microscope doesn’t require any special staining or labels and could help increase access to low-cost medical diagnostic testing,” said research team leader Bahram Javidi from the University of Connecticut. “This would be especially beneficial in developing parts of the world where there is limited access to health care and few high-tech diagnostic facilities… Continue reading.

Portable Microscope Makes Field Diagnosis Possible

Via University of Connecticut | October 30, 2017

A portable holographic field microscope developed by UConn optical engineers could provide medical professionals with a fast and reliable new tool for the identification of diseased cells and other biological specimens.

The device, featured in a recent paper published by Applied Optics, uses the latest in digital camera sensor technology, advanced optical engineering, computational algorithms, and statistical analysis to provide rapid automated identification of diseased cells.

“Our optical instrument cuts down the time it takes to process this information from days to minutes,” says Bahram Javidi, Board of Trustees Distinguished Professor in the Department of Electrical and Computer Engineering and the microscope’s senior developer. “And people running the tests don’t have to be experts, because the algorithms will determine if a result is positive or negative… Continue reading.