Portable and Adaptive Data Analysis Workflows for Real-Time 3D Vision (B02)

• Subject Area: Experimental Condensed Matter Physics ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
• Term: from 2020 to 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 414984028

In many Natural Sciences, microscopy is key to discover things that have never been seen or captured by cameras before. In high-end microscopy, resolution approaches the wavelength of the probing radiation, leading to images that are recorded with partially coherent, potentially unidirectional, or even polarized illumination plagued by various diffraction effects. The reconstruction algorithms processing such data are compute- and/or memory-intensive and are typically vendor-specific black-box algorithms, which are impossible to port and hard to modify or maintain. The aim of this interdiscipli-nary subproject is to develop a toolbox and platform for the flexible creation of vendor-agnostic DAWs for the near-real time analysis of microscopic images. It addresses portability across microscopes, dependability of analysis pipelines, and adaptation to different measurement types and available re-sources. Important cooperations will be established with B5 on estimating resource requirements and with B4 on optimizing network traffic. The subproject will be carried out by Prof. Eisert, an expert in online manipulation and analysis of video streams, and Prof. Koch, an expert in developing novel techniques in electron microscopy and optical microscopy.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1404: FONDA - Foundations of Workflows for Large-Scale Scientific Data Analysis
• Applicant Institution: Humboldt-Universität zu Berlin
• Project Heads: Professor Dr.-Ing. Peter Eisert; Professor Dr. Christoph Tobias Koch