Dr. Pengfei Song has developed methods of real-time SR-UMI. Current SR-UMI requires hours of data post-processing, making it impractical for clinical, diagnostic...
Dr. Pengfei Song has developed methods of real-time SR-UMI. Current SR-UMI requires hours of data post-processing, making it impractical for clinical, diagnostic applications. Implementing advances in deep learning and parallel computing, Dr. Song's team was able to realize real-time microbubble signal extraction, separation, localization, tracking, and quantitative analysis and display. This technology has a wide range of clinical applications including but not limited to the diagnosis and characterization of many disorders including cancer, cardiovascular disease, and neurological diseases.
Researchers from the University of Illinois have developed a highly sensitive, graphene field effect transistor (gFET) that can detect DNA in samples. This technology uses...
Researchers from the University of Illinois have developed a highly sensitive, graphene field effect transistor (gFET) that can detect DNA in samples. This technology uses Loop-Mediated Isothermal Amplification (LAMP) and crumpled graphene in order to detect the presence of a target segment of DNA within a provided sample. By using crumpled graphene, gFET, and LAMP Dr. Ganguli's technology is able rapidly detect pathogens using entirely electronic means bringing diagnostics directly to point of care medical practice, all while being less expensive, more sensitive, and quicker than other traditional, gold-standard pathogen diagnostics methods. This technology is even able to detect molecular concentrations down to 8 zeptomolar.
Publication: Ganguli, A., Faramarzi, V., Mostafa, A., Hwang, M. T., You, S., & Bashir, R. (2020). High Sensitivity Graphene Field Effect Transistor-Based Detection of DNA Amplification. Advanced Functional Materials, 30(28), [2001031]. https://doi.org/10.1002/adfm.202001031
