000265965 001__ 265965
000265965 005__ 20190612151856.0
000265965 0247_ $$a10.1002/ange.201901443$$2doi
000265965 037__ $$aARTICLE
000265965 245__ $$aMetasurface‐based molecular biosensing aided by artificial intelligence
000265965 260__ $$c2019-04-25
000265965 269__ $$a2019-04-25
000265965 336__ $$aReviews
000265965 520__ $$aMolecular spectroscopy provides unique information on the internal structure of biological materials by detecting the characteristic vibrational signatures of their constituent chemical bonds at infrared frequencies. Nanophotonic antennas and metasurfaces have driven this concept towards few‐molecule sensitivities by confining incident light into intense hot spots of the electromagnetic fields, providing strongly enhanced light‐matter interaction. In this Minireview, recently developed molecular biosensing approaches based on the combination of dielectric metasurfaces and imaging detection are highlighted in comparison to traditional plasmonic geometries, and the unique potential of artificial intelligence techniques for nanophotonic sensor design and data analysis is emphasized. Because of their spectrometer‐less operation principle, such imaging‐based approaches hold great promise for miniaturized biosensors in practical point‐of‐care or field‐deployable applications.
000265965 700__ $$g262955$$aTittl, Andreas
000265965 700__ $$g271009$$aJohn-Herpin, Aurelian
000265965 700__ $$aLeitis, Aleksandrs$$g271012
000265965 700__ $$aArvelo, Eduardo R$$g292111
000265965 700__ $$aAltug, Hatice$$g231181
000265965 773__ $$tAngewandte Chemie
000265965 8560_ $$feduardo.romeroarvelo@epfl.ch
000265965 909C0 $$zMarselli, Béatrice$$xU12650$$pBIOS$$mandreas.tittl@epfl.ch$$0252567
000265965 909CO $$ooai:infoscience.epfl.ch:265965$$particle$$preview$$pSTI
000265965 960__ $$aeduardo.romeroarvelo@epfl.ch
000265965 961__ $$afantin.reichler@epfl.ch
000265965 973__ $$aEPFL$$sPUBLISHED$$rREVIEWED
000265965 980__ $$aARTICLE
000265965 981__ $$aoverwrite