Roadmap on Label-Free Super-resolution Imaging

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  • Vasily Astratov
    University of North Carolina
  • Yair Sahel
    Weizmann Institute of Science, Rehovot, Israel
  • Yonina Eldar
    Weizmann Institute of Science, Rehovot, Israel
  • Luzhe Huang
    University of California
  • Aydogan Ozcan
    University of California
  • Zengbo (James ) Wang
  • N.I. Zheludev
    University of Southampton
  • Junxiang Zhao
    University of California
  • Zachary Burns
    University of California
  • Zhaowei Liu
    University of California
  • Evengii Narimanov
    Purdue University
  • Neha Goswami
    University of Illinois
  • Gabriel Popescu
    University of Illinois
  • Emanuael Pfitzner
    University of Oxford
  • Philipp Kukura
    University of Oxford
  • Yi-Teng Hsiao
    Institute of Atomic and Molecular Sciences (IAMS)
  • Chia-Lung Hsieh
    Institute of Atomic and Molecular Sciences (IAMS)
  • Brian Abbey
    La Trobe University, Melbourne
  • Alberto Diaspro
    LCSL, Istituto Italiano di Tecnologia
  • Aymeric LeGratiet
    LCSL, Istituto Italiano di Tecnologia
  • Paulo Bianchini
    LCSL, Istituto Italiano di Tecnologia
  • Natan T. Shaked
    University of Tel Aviv
  • Bertrand Simon
    Université Bordeaux
  • Nicolas Verrier
    Université de Haute-Alsace, Mulhouse
  • Matthieu Debailleul
    Université de Haute-Alsace, Mulhouse
  • Olivier Haeberle
    Université de Haute-Alsace, Mulhouse
  • Sheng Wang
    Wuhan University
  • Mengkun Liu
    Stony Brook University
  • Yeran Bai
    Boston University
  • Ji-Xin Cheng
    Boston University
  • Behjat S. Karim,an
    LCSL, Istituto Italiano di Tecnologia
  • Katsumasa Fujita
    Osaka University
  • Moshe Sinvani
    Bar Ilan University
  • Zeev Zalevsky
    Bar Ilan University
  • Xiangping Li
    Jinan University, Guangzhou
  • Guan-Ji Huang
    National Taiwan University
  • Shi-Wei Chu
    National Taiwan University
  • Omer Tzang
    University of Tel Aviv
  • Igor I. Smolyaninov
    University of Maryland
  • Ulf Leonhardt
    Weizmann Institute of Science, Rehovot, Israel
  • Sahar Sahebdivan
    EMTensor GmbH, Austria
  • Dror Hershkovitz
    University of Tel Aviv
  • Ori Cheshnovsky
    University of Tel Aviv
  • Mikko J. Huttunen
    University of Tampere
  • Stefan G. Stanciu
    National University of Science and Technology Politehnica Bucharest
  • Vera N. Smolyaninova
    Towson University
  • Zengbo (James ) Wang
  • Boris Luk'yanchuk
    Lomonosov Moscow State University
  • Limin Wu
    Fudan University, Shanghai, China
  • Alexey V. Maslov
    University of Nizhny Novgorod
  • Boya Jin
    University of North Carolina
  • Constantin R. Simovski
    Aalto University
  • Stephane Perrin
    University of Strasbourg
  • Paul Montgomery
    University of Strasbourg
  • Sylvain Lecler
    University of Strasbourg
Label-free super-resolution (LFSR) imaging relies on light-scattering processes in nanoscale objects without a need for fluorescent (FL) staining required in super-resolved FL microscopy. The objectives of this Roadmap are to present a comprehensive vision of the developments, the state-of-the-art in this field, and to discuss the resolution boundaries and hurdles that need to be overcome to break the classical diffraction limit of the label-free imaging. The scope of this Roadmap spans from the advanced interference detection techniques, where the diffraction-limited lateral resolution is combined with unsurpassed axial and temporal resolution, to techniques with true lateral super-resolution capability that are based on understanding resolution as an information science problem, on using novel structured illumination, near-field scanning, and nonlinear optics approaches, and on designing superlenses based on nanoplasmonics, metamaterials, transformation optics, and microsphere-assisted approaches. To this end, this Roadmap brings under the same umbrella researchers from the physics and biomedical optics communities in which such studies have often been developing separately. The ultimate intent of this paper is to create a vision for the current and future developments of LFSR imaging based on its physical mechanisms and to create a great opening for the series of articles in this field.
Original languageEnglish
Article number202200029
JournalLaser & Photonics Reviews
Volume17
Issue number12
Early online date30 Oct 2023
DOIs
Publication statusPublished - Dec 2023

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