Topic: preprocessing

Develop a complete CT-imaging workflow from scanner selection and acquisition settings to publication-quality visualisation. The course explains volumetric reconstruction, preprocessing and segmentation, including advanced and AI-assisted methods. Practical work improves segmented three-dimensional meshes, reduces noise and prepares datasets for quantitative analysis, images and video. It provides a technical foundation for beginners working with biological or earth-science specimens. Live sessions: 14, 16, 19, 21 and 23 October, 14:00–18:30, Europe/Madrid (CEST, UTC+02:00). Total 25 hours, i

Work through mass-spectrometry proteomics analysis in R and Bioconductor, from raw observations to statistical interpretation. Practical tutorials cover data formats, extraction and visualization, integration of identification results, quantitative data structures and preprocessing. The final session uses statistical analysis to identify proteins with different abundance between experimental groups. 2027-01-27–2027-01-29, 14:00–20:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €380. Working R knowledge is required. Mass-spectrometry or proteomics familiarity is useful but not es