The BE-OPTICAL Project
Biomedical imaging is a research field that is producing ground breaking scientific discoveries that enhance the health and life quality of European citizens and have a huge economic impact. In order to maintain Europe's leading position in the field, it is crucial to invest in the people who will lead R&D, and to promote the academic-private sector partnerships that will transfer the novel technologies to the market.
In order to meet these needs, BE-OPTICAL will provide a unique and structured training programme to 14 ESRs in a wide range of optical imaging technologies and signal processing tools, including fluorescence spectroscopy and microscopy, optical coherence tomography, optogenetics, engineered nanomaterials and new techniques for the analysis of biomedical signals.
The training programme will provide the ESRs with a broad understanding of how a wide range of optical imaging technologies and data processing tools work, and will open for them a wide range of job opportunities. The ESRs will apply this knowledge to advance the early diagnosis of highly significant diseases. The ESRs will also gain insight into clinical studies of novel imaging technologies and the commercialization process.
|Project||Advanced BiomEdical OPTICAL Imaging and Data Analysis
|Project Coordinator||UNIVERSITAT POLITECNICA DE CATALUNYA, Spain|
|Participants||Germany, France, Poland, Spain, United Kingdom|
||1st October 2015|
|Total cost:||EUR 3 495 300,48|
Tommaso Alterini, and Ana Rodríguez contributed to the RNO Annual Meeting 2018 Conference in Castelló, València.
Tommaso Alterini, Jaume Pujol and Ireneusz Grulkowski contributed to the ARVO Annual Meeting 2018 Conference in Hawaii.
Predicting Transitions in Complex Systems. International Workshop at Dresden, Germany. 23-27 April 2018.
International Symposium on “Single Photon based Quantum Technologies” at PicoQuant. May 30-June 1, 2018 in Berlin, Germany
Michał Hamkało (ESR 7) contributed to the SPIE Photonics West Bios Conference at San Francisco, California.
This project has received funding from the European Union's Horizon 2020 Programme for research, technological development and demonstration under grant agreement no. 675512