HoloZcan: Deep learning powered holographic microscopy for biothreat detection on field
HoloZcan develops of 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.
OBJECTIVES
HoloZcan develops an autonomous detection-and-response tool for security actors.
COMMUNITY OF USERS
We’re co-creating HoloZcan — surveys, interviews, and pilots. For deeper involvement: Stakeholder Programme.
NEWS
Follow the project’s progress: developments, pilots, partners, and media coverage.
WE ARE THE LEADERSHIP IN THE CONSTRUCTION!
Focused on police and other emergency service providers, the EU-funded HoloZcan project is working on a high resolution, large throughput, automatic and highly portable detection system to automatically classify pathogens and particles. Combining methods of artificial intelligence (AI) and machine learning (ML), it will develop novel holographic microscopy and imaging technology for screening potential biological threats and unknown, potentially dangerous substances.
Funded under
Civil Security for Society
Coordinator
IDEAS Science
9
PARTNERS
FROM 5 COUNTRIES
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101021723.
OUTPUTS
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PROTOTYPES
COMMUNITY OF USERS
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