Deep Learning Powered Holographic Microscopy for Biothreat Detection on Field
The project is a Research and Innovation Action, its funding originates from the H2020-EU.3.7.5. – Increase Europe’s resilience to crises and disasters budget line, topic : SU-DRS04-2019-2020 – Chemical, biological, radiological and nuclear (CBRN) cluster.
HoloZcan is an European project that aims to bring a new tool for security actors (police, relief workers, disaster managers, crisis managers, stakeholders responsible for public safety, critical infrastructure and service providers), notably in the fields of autonomous detection and response capabilities.
The project will increase bio-aerosol sensing and measurement capability of chemical, biological, radiological and nuclear (CBRN) practitioners by developing a high resolution, large throughput, automatic and highly portable detection system for making automatic classification of pathogens and particles.
HoloZcan develops a novel holographic microscopy and imaging technology for rapid and cost-efficient screening of potential biological threats and unknown, potentially dangerous substances, combined with methods of artificial intelligence and machine learning.
The project responds to the current needs of European CBRN practitioners and to the technological gaps identified by the ENCIRCLE project, and addresses several shortcomings of the current approaches to bio-threat agent detection.
The CRBIP will provide expertise in microbiology in order to support the consortium in the database building and system configurations. It will also help in the setting up of protocols for human sampling and sample management.
This project has received funding from the European UNion’s Horizon 2020 research and innovation programme, under grant agreement No 101021723
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