Proof of concept for rapid detection of surfaces contaminated by SARS-CoV-2 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 for the financing of research projects on SARS-COV-2 and the covid19 disease of the Carlos III Health Institute and a Project for the Acquisition of Equipment of the MICINN 2019.
Prof. Dr. Emilio Gómez González.
The Carlos III Health Institute, dependent on the Ministry of Science and Innovation, has agreed to finance, under the Extraordinary Call for Research Projects on SARS-CoV-2 and the COVID-19 disease, the proposal presented by a group of Researchers belonging to 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 through the use of existing optical technologies combined with Artificial Intelligence (AI). This advance would make a great contribution to 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 Interdisciplinary Physics Group of the Higher Technical School of Engineering of the University of Seville , the Virgen del Rocío University Hospital , the Seville Institute of Biomedicine , the Andalusian Network for the design and translation of Advanced Therapies (RAdytTA) participate in this project. , the TEDAX-NRBQ Group of the National Police Corps , the Calar Alto Astronomical Observatory (CAHA, Almería) , the University of Cádiz-INIBICA , the HUMAINT Project of the Joint Research Center (JRC) of the European Commission and the Andalusian Technological Corporation ( CTA) . Its members decided several weeks ago to reorient research projects that they already had underway towards the fight against the coronavirus. This new project is being presented these days in various international platforms and forums on the applications of AI in relation to the virus and the COVID-19 pandemic.
The objective of the new project, given that currently there are no methods for detecting and visualizing the presence of the virus on surfaces, is to develop a portable prototype that would combine multispectral image reading systems, both in the optical range (from ultraviolet to infrared). thermal) as in the terahertz range, analysis methods using computational optics and Artificial Intelligence (machine learning).
This would allow rapid and non-contact analysis of contaminated areas by generating spatial distribution maps of these images in the field of view captured by the device. This would represent a great advance in terms of having methods that help to clean and decontaminate medical devices and facilities and to reduce contagion by contact.
Recent projects supported by:
PROJECT: "Equipment for the acquisition and integration of hyperspectral images in the optical, thermal, terahertz (THz) and X-ray ranges in Laboratory and Field environments"
Program: State Subprogram for Research Infrastructures and Scientific-Technical Equipment, State Plan for Scientific and Technical Research and Innovation 2017-2020.
Entity: ERDF Program. Ministry of Science, Innovation and Universities.
PROJECT: "Study of the application of Neurophotonics, Hyperspectral Imaging and Laser Doppler Vibrometry techniques to improve the neurosurgical treatment of Refractory Surgical Epilepsy".
Program: R&D Projects of the Andalusian Regional Government Health Council (2016).
Entity: Ministry of Health of the Junta de Andalucía.