Optical metasurfaces for biosensing and bioimaging applications

We are living through a transitional era where more and more decisions affecting our lives are being made by computers enabled by artificial intelligence (AI) tools. Specifically, next-generation healthcare systems will greatly benefit from AI tools to improve the diagnostic process with implications for better human health quality and safety. However, extensive datasets reflecting patient health status are needed for AI tools to guide clinicians accurately. This critical healthcare requirement highlights the importance of diagnostic biochemical sensors and bioimaging technologies that are low-cost, reliable, and, most importantly, accessible to diverse population groups for equitable access to high-quality healthcare. My work focuses on developing advanced optical analytical platforms by mastering nanotechnology, plasmonics, and metasurfaces to address the major diagnostic challenges that threaten human health and well-being. In my talk, I will introduce numerous photonic metasurfaces, including plasmonic and all-dielectric approaches, for the spectrochemical tissue pathology [1] and COVID-19 immunity screening across a broad population [2, 3].

References:

1. Rosas S, Schoeller KA, Chang E, Mei H, Kats MA, Eliceiri KW, Zhao X, Yesilkoy F Metasurface-Enhanced Mid-Infrared Spectrochemical Imaging of Tissues. Advanced Materials, n/a(n/a):2301208. https://doi.org/10.1002/adma.202301208

2. Beisenova A, Adi W, Bashar SJ, Velmurugan M, Germanson KB, Shelef MA, Yesilkoy F (2023) Machine-learning-aided multiplexed nanoplasmonic biosensor for COVID-19 population immunity profiling. Sensors & Diagnostics, https://doi.org/10.1039/D3SD00081H

3. Adi W, Biswas D, Shelef MA, Shelef MA, Yesilkoy F (2022) Multiplexed COVID-19 antibody quantification from human sera using label-free nanoplasmonic biosensors. Biomedical Optics Express, 13(4):2130–2143. https://doi.org/10.1364/BOE.454919