TW 1: Basics of SPM, Machine Learning and BioMicroscopy
Hosted by Charité and Bruker Nano GmbH (November, 17th- 20nd, 2025) – Coincides with Mid-Term Meeting
Underpinning of Machine Learning:
History of machine learning. Inference statistics. Introduction to supervised, semisupervised and unsupervised learning. Advanced topics of model learning and model evaluation. Data preparation. Multi-dimensional data. Outlier detection.
Microscopy for Life Sciences and Medicine:
Basic structures in biological samples. Optical microscopy (bright field, fluorescence, confocal). Electron microscopy (scanning and transmission electron microscopies). Medical imaging techniques (X-Rays, PET, MRI).
Introduction to atomic force microscopy imaging:
Brief history and principles of SPM. Set-up description. Imaging modes (contact, intermittent contact, non-contact, force-volume). Spectroscopic modes. Application in Life Sciences. Hands on laboratory.
Introduction to SPM image processing:
Basics of SPM image processing: flattening, equalization, line/spot removal, smoothing, profiling, tip de-convolution. Advanced image processing: volume data, clustering, roughness, nanoparticle detection. Introduction to Gwyddion
Place: Charité – Universitätsmedizin Berlin, Virchowweg 11, 10117 Berlin and Bruker Nano GmbH, Am Studio 2D, 12489 Berlin.
Attendance: DCs mandatory. Open to non SPM4.0 researchers (limited places).