Research & Development
Datrix is active on the following projects funded by the European Union, thanks to which it consolidates its role as a reference technological partner in data-driven research & development on a continental level, not necessarily for business applications, but also for social utility. Thanks to AI, in fact, we will increasingly witness a process of contamination or, even better, “cont-animation” of disciplines, attitudes, methodologies and sectors.
Our collaboration network
- Universitat Wien | Austria
- Rheasoft Aps | Denmark
- Lionbridge Oy | Finland
- Oulun Yliopisto | Finland
- Centre National de la Recherche Scientifique Cnrs | France
- Institut National de la Sante et de la Recherche Medicale | France
- Lightcore Technologies | France
- Active Fiber Systems Gmbh | Germany
- Universitätsklinikum Hamburg-Eppendorf | Germany
- Handelsblatt Gmbh | Germany
- Jenlab Gmbh | Germany
- Leibniz-institut fuer Photonische | Germany
- Redlink Gmbh | Germany
- Technologien E.V. | Germany
- Universitat Passau | Germany
- Universitaetsklinikum | Germany
- Universitätsklinikum Jena | Germany
- Dimos Lariseon | Greece
- Innovative Secure Technologies Ike | Greece
- Open Technology Services Ae | Greece
- National University Of Ireland Galway | Ireland
- Peracton Limited | Ireland
- Cesviter Consulting Srl | Italy
- Fondazione Irccs Istituto Nazionale dei tumori | Italy
- Scuola Superiore Sant’Anna di Pisa | Italy
- Università della Tuscia | Italy
- Ifom Fondazione Istituto FIRC di oncologia molecolare | Italy
- Politecnico di Milano | Italy
- Roma Capitale |Italy
- Andriessen Jeffrey Elbertus Bartholomeus | Netherlands
- Arktiske Universitet | Norway
- Universitetssykehuset Nord-Norge Hf | Norway
- Universitetet I Tromsoe | Norway
- Ospedale Humanitas | Italy
- Cambridge Raman Imaging Ltd | UK
- Caris Research Ltd | UK
- Euractiv.Com Limited | UK
- Universitat de Barcelona | Spain
- Universitaet St. Gallen | Switzerland
R&D projects funded by the European Union
It’s a revolutionary technology proposition that will break new grounds in microscopy and develop an ideal imaging solution for organoid research. It will enable life scientists to visualize life unfolding in real-time inside the cells and tissue in an organ-mimicking living tissue environment (called organoid here). It will alter the paradigm in microscopy by converting the central obstacle of light scattering by thick samples into the central opportunity that enables 3D label-free imaging on organoids in real-time with sub-cellular (~200 nm) and inter-cellular resolution (~1 um) at speeds of >1 volume per second (cube of 100 um). For achieving this unprecedented feat, ORGANVISION will develop a new multi-physics solver that solves transport of intensity (ToI) and full wave electromagnetic (FWEM) models in a coupled manner. ToI provides 3D image with inter-cellular resolution and generates intensity distribution inside the sample. FWEM uses this intensity distribution to decode the near-field light interaction between the sub-cellular entities for generating 3D sub-cellular image. A novel microscope instrument delivers custom designed 3D illumination patterns at the speed of 200 patterns per second in order to solve the problem of ill-posedness encountered by these solvers. In order to exploit the opportunity thus created, ORGANVISION will develop an a computational model that models the dynamics and interactions of functional entities recorded by ORGANVISION imaging solution in order to identify the underlying mechanisms. The proof-of-concept will be shown on engineered heart tissue for real-time imaging of cell and tissue activity towards studying injury, repair and regeneration in heart muscle. ORGANVISION will transform microscopy from a visualization device to a knowledge discovery tool that will change the course of organoid research forever. We believe that ORGANVISION will lead to better understanding and faster therapy for several diseases. Learn more on organvision.eu/.
The project aims to provide a next-generation bio-photonics imaging device based on vibrational spectroscopy, with the potential to revolutionise the study of the cellular origin of diseases allowing for novel approaches towards personalised therapy. We will employ label-free broadband coherent Raman scattering (CRS) extended to the fingerprint region, in combination with artificial-intelligence spectroscopic data analysis, for fast cell/tissue classification with unprecedented biochemical sensitivity. We will develop a hyperspectral CRS microscope for 3D quantitative imaging of sub-cellular compartments in living cells and organoids. High acquisition speed will enable the observation of intra- and inter-cellular dynamic changes by time-lapse imaging. We will simulate future in-vivo studies and demonstrate the capability to image inside the body, realizing an innovative CRS endoscope and applying it to ex-vivo thick tissue slides. CRIMSON relies on the development of new compact ultrafast lasers, innovative broadband CRS detection schemes and advanced spectral analysis routines.
To validate the CRS platform, we will investigate three open biological questions related to cancer, as paradigmatic examples of the complexity and heterogeneity of cellular diseases. The results will have profound societal impacts, improving patients’ quality of life and reducing public healthcare costs.
CRIMSON brings together a multidisciplinary team of world-leading academic organizations, biomedical end users and innovative SMEs, with vertical integration of all required skills.
CRIMSON will bridge the gap between research and product development, increasing the TRL and making CRS a user-friendly, robust and cost-effective mainstream tool for a vast biological research community. Commercial exploitation by the participating SMEs, including a biomedical equipment manufacturer, will create a competitive advantage in the European biophotonics-related market for microscopes and R&D tools.
It’s a research project, co-financed by the European Regional Development Fund of the Lombardy Region, aimed at strengthening the health industry. Therefore, it satisfies a need of modern Western societies that have to face the growth of the average age of the population and the increase in economic costs to guarantee adequate health protection to the population.
The NEWMED project aims to study new diagnostic aids to surgery in order to increase its effectiveness and reduce its side effects, all thanks to the construction of a network of relations between a large technical university, an avant-garde clinical structure and some companies in Lombardy, with the aim of guiding the development of new technologies that can be transformed into innovative products under the direct control of the companies that have developed them. For further information: progetto-newmed.it
Social Sentiment Indices powered by X-Scores (SSIX project) aims to provide European SMEs with a collection of easy to interpret tools to analyse and understand social media users attitudes for any given subject; these sentiment characteristics can be exploited to help SMEs to operate more efficiently resulting in increased revenues. Social media data represents a collective barometer of thoughts and ideas touching every facet of society. SSIX will search and index conversations taking place on social network services, such as Twitter, StockTwits, and Facebook including the most reliable and authoritative newswires, online newspapers, trade publications and blogs. SSIX will classify and score content using a framework of qualitative and quantitative parameters called X-Scores, regardless of language, locale or data architecture. The X-Scores framework will interpret economically significant sentiment signals in social media conversations producing sentiment metrics, such as momentum, awareness scope, topic density and historical comparison. These metrics will create commercially viable social sentiment indices, which can be tailored to any domain of interest. By enabling European SMEs to analyse and leverage social sentiment in their discipline, SSIX will facilitate the creation of innovative products and services by enhancing the investment decision making process, thus increasing revenue while also minimising risk. Here you can find further information.
Cybersecurity is one of the most challenging security problems of today, comprising not only technical but organizational and behavioral factors that make protecting information, transactions or business interests a complex task in cyberspace.
New regulation like the network and information security (NIS) directive or the general data protection regulation (GDPR) tries to improve cybersecurity and to establish a common regulatory framework in the EU. While complying to new EU regulations is already a major project for large corporations, smaller institutions like local public administrations face even greater challenges regarding implementing adaptations and resulting changes to every day work. For example, smaller municipalities do not have the resources to invest in state-of-the-art cybersecurity while they maintain sensitive and personal data about their citizens.
CS-AWARE project aims to be a simple and cost effective cybersecurity awareness solution that helps administrators to understand the cybersecurity situation within their systems. The solution relies heavily on cooperative cybersecurity, by utilizing information about problems that others have shared in order to detect and mitigate incidents within ones own systems.
CS-AWARE is a holistic cybersecurity awareness solution aimed at local public administrations, non-governmental organizations and small and medium enterprises to protect against and detect attacks as well as offering sound and realizable solutions by automatic incident detection and visualization, information exchange with national and EU level NIS authorities, system self-healing, multi-lingual semantic support. Here you can find further information.
Top notch Datrix technologies
- Node JS
- Cloud SQL
- Google BigQuery
- Google Firestore
- AWS Athena
- Google Cloud Storage
- AWS S3
- React JS
- Google AppEngine
- Cloud Run
- Google Functions
- AWS Lambda
- AWS SageMaker
- Apache Spark
- Backbone JS