Deep Learning Powered Holographic Microscopy for Biothreat Detection on Field The Zug Medical Systems is a Consortium Partner for a European Union funded collaborative research project under a grant from Horizon 2020 Programme (ID: 101021723). This will last between May 2021 and April 2024. HoloZcan brings a new tool for security actors (police, relief workers,…
Performance Testing exercise at Institut Pasteur Paris
On 07-08 March took place a Performance Testing exercise at Institut Pasteur Paris in the presence of Györgyi
Bela, Béla Mihalik (IDEAS Science), Mariana Ferrari, Praveen Rahi, Ayla Zayoud, Rémy Artus (Institut Pasteur),
János Palhalmi (DataSense Labs), Edwin Langerak, Sajjad Mahammadian (Sioux), Alessandro Molani (Polimi)
Ralf Bergmann, Alex Ládi, Stephane Hollande (ZugMed).
Online CBRN Training under Development
Project HOLOZCAN started the development of its Level One open access CBRN
Training e-Learning platform. An innovative lightweight Leaning Management System
(LMS) will be integrated into our website.
Tech stack includes Google Firebase, NuxtJS/BoostrapVue, Python, PHP, PostgreSQL.
The work is performed by our IT Expert Oleksii Demchenko from Ukraine.
More details here: Link
Comparative Air Sampling Exercise in Hungary
On 1st September 2022, an air sampling comparison exercise took place at the
Semmelweis University Laboratory in Budapest. During the exercise, air
sampling devices used in Bio sampling were compared, based on their
The event, organized by Zug Medical Systems in the framework of Project
HOLOZCAN Work Package 3, was attended by experts from the Hungarian
Counter-Terrorism Unit, as well as by representatives of IDEAS Science and
DataSense Lab companies.
Deep Learning Powered Holographic Microscopy for
Biothreat Detection on Field
The project Holozcan is announcing its first General. Assembly Meeting on Monday 06 and
Tuesday 07 June 2022, in Warsaw, Poland.
Funded by the European Union’s Horizon 2020 research and innovation programme, the
project develops comprehensive and innovative means of respiratory, ventilation and
environmental biological data sampling that can be used in real-time, standoff or in mobile
context, to detect bio-threats in the form of pathogens and bacteria.