Fast detection of SARS-CoV-2 contaminated surfaces using multispectral holographic and optical analysis with artificial intelligence.
Collaborative project in the fight against the COVID-19 pandemic. Project of the Call for expressions of interest to finance research projects on SARS-COV-2 and COVID 19 disease of the Instituto de Salud Carlos III and an Equipment Acquisition Project of MICINN 2019.
Prof. Dr. Emilio Gómez González.
The Instituto de Salud Carlos III, under the Spanish Ministry of Science and Innovation, has agreed to finance, under the Extraordinary Call for Research Projects on SARS-CoV-2 and the disease COVID-19, the proposal presented by a team of researchers from different institutions based in Andalusia for the design of a prototype capable of detecting the SARS-CoV-2 virus deposited on surfaces of different materials using existing optical technologies combined with Artificial Intelligence (AI). This research would make a great contribution to current efforts to contain the pandemic and prevent new infections, since it would allow the precise detection of surfaces contaminated by the coronavirus.
Researchers from the the Group of Interdisciplinary Physics of Higher Technical School of Engineering (ETSI) at Universidad de Sevilla, Virgen del Rocío University Hospital, Seville Biomedical Institute, Andalusian Network for the Design and Translation of Advanced therapies (RAdytTA), TEDAX (EOD) from the Spanish National Police, Joint Research Centre (JRC) of the European Commission, Technological Corporation of Andalusia (CTA), and Calar Alto Observatory, decided weeks ago to reorient ongoing research projects towards contributing to the coronavirus crisis. This new project is being presented these days on various platforms and international forums about IA applications related with the virus and the COVID-19 pandemic.
The goal of this novel initiative, since there are currently no detection and visualization methods to check the presence of the virus on surfaces, is to develop a mobile prototype, which would combine multispectral image readout systems – in the optical range (from the ultraviolet to the thermal infrared) as well as in the terahertz (submillimetric) range --, analysis methods through computational optics, and AI (in particular, machine learning techniques).
This would enable a rapid analysis without contacting contaminated areas, via spatial distribution map generation of these images in the field of view seen by the dispositive. That would suppose a clear advance in the availability of methods to clean and decontaminate the medical machinery and installations, and to reduce the contagion due to the contacts.
Recent projects supported:
PROJECT: “Equipment for acquisition and integration of hyperspectral images in the optical, thermal, terahertz (THz) and X-ray ranges in Laboratory and Field environments”
Program: State Sub-program for Research Infrastructures and Scientific-Technical Equipment, State Plan for Scientific and Technical Research and Innovation 2017-2020.
Entity: FEDER program. Ministry of Science, Innovation and Universities.
PROJECT: "Study of the application of Neophotonics, Hyperspectral Imaging and Doppler Laser Vibrometry to improve the neurosurgical treatment of Refractory Surgical Epilepsy."
Program: R&D projects of the Health Department of the Andalusian Government (2016).
Entity: Ministry of Health of the Junta de Andalucía.