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Revolutionizing disease and environmental detection with portable optoacoustic sensing

RSENSE in brief

RSENSE is an innovative, visionary project that will bring a paradigm shift in health and environment


RSENSE is a 5-year research and innovation program funded by the EU under H2020. It brings together engineers and physicians from four European countries (see Partners) aiming for a new and innovative, disruptive technology of spectral portable optoacoustics (sPROPT). This sensor will be accessible, inexpensive, portable and non-invasive. On the one hand, sPROPT will enable frequent monitoring for early signs of diseases, such as prevalent cardiovascular and metabolic diseases. On the other hand, sPROPT will revolutionize environmental sensing by allowing sensitive, disseminated, in-vehicle measurements and monitoring for on-board diagnosis. To achieve these ambitious goals, the RSENSE consortium uses methods ranging from artificial intelligence and data analytics to advanced optoacoustic technology.

News

Kick-off Meeting

Our kick-off for the FET Open Project RSENSE took place in Munich on January 20 in 2020. The objective of the meeting was to gather all members of the project to familiarize with each other and the project's purposes and ambitiouos goal to develop novel optoacoustic data streams for biological and environmental applications! Thank you all for the great meeting!
 

Information

If you want to learn more about the RSENSE project, visit the subpages RSENSE in a nutshell.

Publications

List of newest publication

1) Antonios Stylogiannis, Lucas Riobo, Ludwig Prade, Sarah Glasl, Sabine Klein, Giulia Lucidi, Martin Fuchs, Dieter Saur, and Vasilis Ntziachristos, "Low-cost single-point optoacoustic sensor for spectroscopic measurement of local vascular oxygenation," Opt. Lett. 45, 6579-6582 (2020) https://doi.org/10.1364/OL.412034

2) Dominik Waibel, Sayedali Shetab Boushehri, Carsten Marr, "InstantDL - An easy-to-use deep learning pipeline for image segmentation and classification" bioRxiv 2020.06.22.164103; doi: doi.org/10.1101/2020.06.22.164103

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