Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching

M. Barkey; R. Büchner; A. Wester; S. Pritzl; M. Makarenko; Q. Wang; T. Weber; S. A. Maier; A. Fratalocchi; T. Lohmüller; A. Tittl

Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching

M. Barkey, R. Büchner, A. Wester, S. Pritzl, M. Makarenko, Q. Wang, T. Weber, S. A. Maier, A. Fratalocchi, T. Lohmüller, A. Tittl

School of Physics and Astronomy

Research output: Contribution to conference › Abstract › peer-review

Abstract

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.

Original language	English
Pages	1621-1622
Number of pages	2
Publication status	Published - 2023
Event	International Conference on Metamaterials, Photonic Crystals and Plasmonics 2023 - Paris, France Duration: 18 Jul 2023 → 21 Jul 2023 Conference number: 13th https://metaconferences.org/META23/files/meta23_proceedings.pdf

Conference

Conference	International Conference on Metamaterials, Photonic Crystals and Plasmonics 2023
Abbreviated title	META 2023
Country/Territory	France
City	Paris
Period	18/07/23 → 21/07/23
Internet address	https://metaconferences.org/META23/files/meta23_proceedings.pdf

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Barkey, M., Büchner, R., Wester, A., Pritzl, S., Makarenko, M., Wang, Q., Weber, T., Maier, S. A., Fratalocchi, A., Lohmüller, T., & Tittl, A. (2023). Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching. 1621-1622. Abstract from International Conference on Metamaterials, Photonic Crystals and Plasmonics 2023, Paris, France. https://metaconferences.org/META23/files/meta23_proceedings.pdf

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title = "Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching",

abstract = "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.",

author = "M. Barkey and R. B{\"u}chner and A. Wester and S. Pritzl and M. Makarenko and Q. Wang and T. Weber and Maier, {S. A.} and A. Fratalocchi and T. Lohm{\"u}ller and A. Tittl",

note = "Publisher Copyright: {\textcopyright} 2023, META Conference. All rights reserved.; International Conference on Metamaterials, Photonic Crystals and Plasmonics 2023, META 2023 ; Conference date: 18-07-2023 Through 21-07-2023",

year = "2023",

language = "English",

pages = "1621--1622",

url = "https://metaconferences.org/META23/files/meta23_proceedings.pdf",

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Barkey, M, Büchner, R, Wester, A, Pritzl, S, Makarenko, M, Wang, Q, Weber, T, Maier, SA, Fratalocchi, A, Lohmüller, T & Tittl, A 2023, 'Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching', International Conference on Metamaterials, Photonic Crystals and Plasmonics 2023, Paris, France, 18/07/23 - 21/07/23 pp. 1621-1622. <https://metaconferences.org/META23/files/meta23_proceedings.pdf>

TY - CONF

T1 - Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching

AU - Barkey, M.

AU - Büchner, R.

AU - Wester, A.

AU - Pritzl, S.

AU - Makarenko, M.

AU - Wang, Q.

AU - Weber, T.

AU - Maier, S. A.

AU - Fratalocchi, A.

AU - Lohmüller, T.

AU - Tittl, A.

N1 - Conference code: 13th

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85174589675&partnerID=8YFLogxK

M3 - Abstract

AN - SCOPUS:85174589675

SP - 1621

EP - 1622

T2 - International Conference on Metamaterials, Photonic Crystals and Plasmonics 2023

Y2 - 18 July 2023 through 21 July 2023

ER -

Metasurface-enabled molecular spectroscopy and machine learning resolve lipid membrane photoswitching

Abstract

Conference

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