In this European subsidized project, HoloZcan wants to increase (environmental and exhaled) bio-aerosol sensing/measurement capability of CBRN practitioners (stakeholders) by developing a high resolution, large throughput, automatic and highly portable detection system for making automatic classification of pathogens and particles.
Sioux Technologies will develop a microscope that works on the basis of computational optics. This will allow bacteria and viruses to be recognized through the mathematical reconstruction of holographic interference patterns. Instead of expensive optics, we use advanced software in this application.
The end result is going to be a 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.
A framework will be established of a dynamic feature selection and validation algorithm to support the continuous innovation capability of the system in the field of adaptive learning and database optimization for specific bioinformatic applications.
The project will also develop comprehensive and innovative means of respiratory, ventilation and environmental biological data sampling that can be used in real-time, standoff or in mobile bio-detection context.
Microscopy and imaging technology.
HoloZcan aims to develop 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 is funded by the European Union's Horizon 2020.
The HoloZcan project applies a flexible adaptive approach to design, and CBRN practitioners are engaged as project Stakeholders in the process. More details