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Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching
Publikationstyp
Conference Paper
Date Issued
2023-07
Sprache
English
Author(s)
Barkey, M.
Büchner, R.
Wester, A.
Pritzl, S.
Makarenko, M.
Wang, Q.
Weber, T.
Fratalocchi, A.
Lohmüller, T.
Start Page
1621
End Page
1623
Citation
13th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2023
Contribution to Conference
Scopus ID
We present an integrated platform for ultrasensitive in-situ biospectroscopy by combining all-dielectric pixelated metasurfaces and machine learning. Specifically designed metasurfaces with advanced sampling techniques probe the real-time dynamics of lipid membrane photoswitching in an aqueous environment in the mid-infrared, overcoming sensitivity limitations and strong water absorption associated with conventional infrared spectroscopy. Our platform combines metasurfaces, optofluidics, and artificial intelligence (AI) to extend the capabilities of dielectric metasurfaces for analyzing complex biological entities.
DDC Class
600: Technology