Cel In this proposal, we would like to advance our high quality and highly flexible multi-purpose three-dimensional tomographic reconstruction algorithm from a state of the art research tool to an innovative commercial software product. Transmission tomography uses N-1 dimensional images to reconstruct an N-dimensional object. It is applicable on a multitude of applications ranging from scientific to industrial level. Our implementation has already proven its superior image reconstruction capabilities for incomplete and low signal-to-noise ratio electron tomography and X-ray microscopy data against the established reconstruction algorithms. In addition, the reconstruction time is reduced to between 50% and 90% compared to other reconstruction methods. Thus, it offers crucial advantages for multi-dimensional image visualization and interpretation, in particular for quantitative information extraction.The primary aim is to bridge different fields using tomography as their common technique and to benchmark our implementation on today's ubiquitous diverse medical and industrial computed tomography, industrial safety scanning, and natural sciences tomography-based data. All of these data share similar characteristics and the same fundamental challenges. Our implementation is based on precise engineering that runs on various processing units such as CPU, GPU, and FPGA boards.The secondary aim is to bring the implementation from academic to industrial level by creating a user interface, optimizing its documentation and usability, and by approaching the target market. The results of this ERC Proof of Concept funding phase shall constitute the basis of licensing agreements in clinical and industrial applications and eventually of the in-licensing of our reconstruction software by tomography suppliers from diverse fields. Dziedzina nauki natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarecomputer processorsnatural sciencesphysical sciencesopticsmicroscopynatural sciencesmathematicspure mathematicsgeometry Program(-y) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Temat(-y) ERC-PoC-2015 - ERC Proof of Concept Grant Zaproszenie do składania wniosków ERC-2015-PoC Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-POC - Proof of Concept Grant Instytucja przyjmująca JOHANN WOLFGANG GOETHE-UNIVERSITAET FRANKFURT AM MAIN Wkład UE netto € 148 750,00 Adres THEODOR W ADORNO PLATZ 1 60323 Frankfurt Am Main Niemcy Zobacz na mapie Region Hessen Darmstadt Frankfurt am Main, Kreisfreie Stadt Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 148 750,00 Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko JOHANN WOLFGANG GOETHE-UNIVERSITAET FRANKFURT AM MAIN Niemcy Wkład UE netto € 148 750,00 Adres THEODOR W ADORNO PLATZ 1 60323 Frankfurt Am Main Zobacz na mapie Region Hessen Darmstadt Frankfurt am Main, Kreisfreie Stadt Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 148 750,00