ALTFACTOR develops custom educational applications for computer-assisted training. The company’s portfolio includes smart web2.0 educational solutions and interactive multimedia content covering over 3.000 study-hours, addressing both educational institutions and the business sector. Altfactor’s core competence is the development of multimedia educational content, in various formats. Our competencies cover applied pedagogy and instructional design, 2D/3D graphics, multimedia development, standardization, web development. Also, we have expertise in SmartTV and mobile application development. The company is committed to research in the field of adaptable software solutions which can increase user satisfaction and is designing and developing tools and applications based on this philosophy. Within this project, the company will develop packages for online visualization of treated and commented 3D images of biological samples for educational programs.


siveco_logoSIVECO Romania develops and exports software products and consultancy projects with high added value to countries within the European Community, The Middle East, North Africa and the CIS area. SIVECO Romania is the only Romanian software company that provides IT services directly to the European Commision organizations. The company is specialized in developing large and complex IT projects for education, health, agriculture, customs organizations, European institutions, private companies and public sector. During over 24 years of activity, SIVECO Romania received more than 200 national and international recognitions.


The Academic Medical Center (AMC)

The Academic Medical Center (AMC) in Amsterdam is one of the largest hospitals in the Netherlands, with over 7000 employees. Within this project we focus on the optimization of the time-consuming and labor-intensive pathologicalexamination to speed-up diagnosis. We study and implement fast and smart tissue fixation and quantification and classification of digitalized sections. We aim to implement a digital pathology workflow at the operation complex to establish same-day diagnosis.


Barco is a global technology company that designs and develops visualization and collaboration solutions for a variety of selected professional markets, including enterprises, healthcare and entertainment. Barco has its own facilities for Sales & Marketing, Customer Support, R&D and Manufacturing in Europe, North America and APAC.  Barco is active in more than 90 countries with 3,300 employees worldwide and posted sales of more than 1 billion euro in 2015.  The Healthcare division provides an integrated approach to patient care across the hospital, boosting clinical performance in every department. You’ll find Barco at every patient touch point, from the imaging exam, to the radiology reading room, to specialist consultations and treatment planning, to the surgical or interventional radiology suite to education at the patient bedside. The research activities of the Flemish partners Barco and iMinds will focus on the visualization technologies for the envisioned 3D Digital Pathology solutions. This work will focus on the following cornerstones: colour calibration and compression technologies for the high quality visualization of 3D pathology colour images, a high performance pathology viewer and an optimized display system.


iMinds is Flanders’ digital research center. Building on the expertise of our 850+ researchers at 5 Flemish universities, iMinds conducts strategic and applied research in areas such as ICT, Media and Health. iMinds  translates digital know-how into real-life products and services together with our research partners and support young entrepreneurs and start-ups in the successful market introduction of their ideas. Within the project, iMinds investigates the application of Web Technologies for visualization of 3D pathology information, together with specific compression and calibration challenges for this use case.

Maastricht University

um_logoWithin this ITEA project Maastricht University will generate and provide for further analysis and implementation a series of high resolution 3D molecular imaging datasets of clinical samples. Bioinformatics and image analysis expertise is also provided to evaluate the added value of 3D molecular imaging, in conjunction with other imaging modalities, offer for improved tissue classification and diagnosis. Through collaboration with MUMC+Maastricht University will also provide clinical tissue sets to the partners.

Prodrive Technologies

PT_logo2013_ColorIn close cooperation with our customers, Prodrive Technologies develop and deliver a wide range of highly competitive products, systems and solutions, employing techniques that are extremely efficient and often unique. We do everything in-house, we cover virtually every conceivable market and we use the very latest process techniques, many of which we’ve developed ourselves. As a result of this innovative approach, we are among the fastest-growing technology companies in Europe. Prodrive Technologies develops the 3D pathology scanner engine hardware.


The X-ray Imaging Center (XIC) under POSTECH (Pohang University of Science & Technology), founded in 2006, is performing frontier researches on the core tehnology of a new paradigm of X-ray imaging, “functional  X-ray imaging”, that makes it possible to image and comprehensively characterize the nanometric and dynamic behavior of the internal structure of matter in a synchronized and integrated way. The center is currently cultivating a new research domain of X-ray imaging on soft matter, soft nanosystems, and nanofabrication.
POSTECH is developing fast and low dose 3-D X-ray imaging.  Task leader of T1.3 that concerns data acquisition from OCT, Raman, and X-ray. Developing algorithms for semi-automatic 3D image processing that is dedicated to breathing lung.


PS-Tech was founded in 2005 as Personal Space Technologies B.V. and is a spin-off company of the Center for Mathematics and Computer Science ( The company is based in Amsterdam, the Netherlands. PS-Tech specializes in Optical Motion Tracking and professional 3D Visualization solutions. Our systems are found in hospitals, industrial design environments, research institutes, museums and universities. PS-Techs Professional 3D visualization is is focused on 3D and 4D volumetric images. The amount of Volumetric data is growing rapidly and pathology is yet another source of volumetric data. Our objective is to offer realistic and comprehensive tools that will help practitioners and students to digest complex volumetric data faster, sharpen their skills and prepare for better patient outcomes. Within 3D Pathology PS-Tech is involved in the Visualization of the volumetric Pathology data.

TU Eindhoven

Eindhoven University of Technology (“Technische Universiteit Eindhoven”, TU/e) in the Netherlands is a research university specializing in engineering science & technology. TU/e offers graduate engineering programmes and post-graduate technological design, Ph.D., teacher training programmes, and post-academic continuing education. In the 3DPathology project, TU/e will develop real-time 3D image analysis algorithms in order to enable the detection of pathologies in tissues. The detected objects will be ready for non-supervised comparison of samples. Also, the compression technique for 3D images will be considered so that the 3D data can be optimally stored, analysed and visualised.


The Philips Digital Pathology Solutions (PDPS) venture started May 2007. The venture is establishing a worldwide business for Digital Pathology Solutions encompassing the Philips Ultra Fast scanner for microscope tissue slides and Image Management System within a Healthcare Informatics environment. The market launch of the first solutions was in 2011. The venture is now expanding in North America, Europa and Asia. Our mission: In a world with increasing challenges for cancer diagnostic procedures and quality of patient care we want to be number one in empowering pathologists with Digital Pathology solutions so their expertise is supported by the best pathology scanners, Image Management System and workflow solutions available.


xavis_logoXAVIS is established based on field experience accumulated in manufacture of X-ray, machine vision, and software for Factory Automation (FA) equipment with highly qualified employees. By automating the assembly & testing lines, it’s willing to provide various effects such as quality improvement, quality security, and labor-cost reduction, etc. Business area includes: 1. Automatic X-ray testing Equipment, 2. Vision system & software of FA Equipment, 3. Development of the operational software of FA system, 4. Automation equipments for assembly & testing in product lines of electronic products, (cellular phone, LCD, semi-conductor, digital TV, etc), 5. Automation equipment related to testing in product  lines of mechanical products (automobiles, etc). XAVIS is developing 3-D X-ray imaging system for 3D Pathology. Task leader of T1.3 that concerns data acquisition from OCT, Raman, and X-ray. In this project, XAVIS is developing X-ray imaging system that is dedicated to breathing lung.

Target Holding

target-holding_Logo_newTarget Holding gets value out of your data. We structure large amounts of data, analyse and extract intelligence from information. Digital information systems like sensor networks or medical imaging applications, generate explosively increasing amounts of data. Target Holding provides the full integration of large-scale data storage, processing and analysis, in order to extract intelligence from information, i.e. from large (un-)structured data sets. We apply state-of- the-art machine learning and data mining techniques in intelligent systems for anomaly detection, matching, forecasting a.o.. Additional research is carried out in cooperation between science and industry to further develop complex and scalable data systems and improve or enable concrete market applications. Within the 3D-Pathology project we analyze the data sets generated by the Maastricht University’s high resolution 3D molecular imaging instrument with pattern recognition methods, to find yet unknown pathological relations and predictors. Our second task is to evaluate the 3D digital pathology data storage and manipulation capacity needs, and to provide the necessary resources for the project.