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Proof of concept for rapid detection of surfaces contaminated by SARS-CoV-2 using multispectral holographic and optical analysis with artificial intelligence

  • Funded by National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)
  • Total publications:0 publications

Grant number: COV20_00080

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Key facts

  • Disease

    COVID-19

  • Funder

    National Institute of Health Carlos III [El Instituto de Salud Carlos III] (ISCIII)

  • Principal Investigator

    Emilio Gómez González

  • Research Location

    Spain

  • Lead Research Institution

    UNIVERSIDAD DE SEVILLA

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Currently there are no methods for detecting and visualizing the presence of the SARS-CoV2 virus on material surfaces. The design, development and evaluation of a portable prototype device (using existing optical technologies combined with artificial intelligence) is proposed for the rapid and non-contact detection, in-situ, of contaminated areas on surfaces. It is proposed i) combine multispectral images in the optical range (ultraviolet to thermal infrared) and terahertz, ii) use analysis methods through computational optics, interferometry and holography, iii) integrate the information through artificial intelligence, and iv) perform tests of laboratory and in polluted and clean environments.