Speakers
Luca Curcuraci
(Max-Planck-Institut für Kolloid- und Grenzflächenforschung)
Markus Kühbach
(Fritz Haber Institute, NOMAD Laboratory)
Luca Bertinetti
(Max Planck Institute of Colloids and Interfaces)
Description
Recent developments in bio-imaging technologies have allowed researchers to collect larger and larger tomographic datasets which contain an immense amount of details. To achieve a quantitative understanding, however, these datasets need to be cleaned-up and segmented. These two tasks are tedious, very time consuming, and still performed mostly manually. In our work we aim to develop a full workflow from 3D image pre-processing to DL-based 3D segmentation and analysis of large volumetric datasets. Here we present the pre-processing pipeline, including handling of metadata, the plan for the implementation of the segmentation tools and an example of large volumetric data analysis.
Primary authors
Luca Curcuraci
(Max-Planck-Institut für Kolloid- und Grenzflächenforschung)
Markus Kühbach
(Fritz Haber Institute, NOMAD Laboratory)
Ronald Seidel
(B CUBE - Center for Molecular Bioengineering)
Nicolas Fabas
(Max Planck Computing and Data Facility)
Andreas Marek
(Max Planck Computing and Data Facility)
Markus Rampp
(Max Planck Computing and Data Facility)
Yael Politi
(B CUBE – Center for Molecular Bioengineering)
Peter Fratzl
(Max Planck Institute of Colloids and Interfaces)
Richard Weinkamer
(Max Planck Institute of Colloids and Interfaces)
Luca Bertinetti
(Max Planck Institute of Colloids and Interfaces)
