Research in Image Analysis and Learning

Current Projects

 synapse-detection Segmentation in the Neurosciences

In order to better understand the structure and function of neural circuits, biologists today acquire huge amounts of three-dimensional image data with electron microscopy techniques such as SBFSEM and FIBSEM, with which an isotropic resolution of up to 5nm per voxel can be achieved. Read more

 synapse-detection Tracking of Multiple (Divisible) Objects Using Structured Learning

One major goal in developmental biology is to understand cell lineages in developing organisms: Where do the cells move during embryogenesis, where and when do they divide, and which cells will later form which organs? Read more

 synapse-detection Interactive machine learning for image analysis: ilastik

ilastik is a simple, user-friendly tool for interactive image classification, segmentation and analysis. It is built as a modular software framework, which currently has workflows for automated (supervised) pixel- and object-level classification, automated and semi-automated object tracking, semi-automated segmentation and object counting without detection. Read more

 synapse-detection High Throughput Analysis of Microscopic Imagery

New microscopic imaging techniques pose both grand challenges and new opportunities for image processing and computer vision. At the same time, the analysis of high-throughput data generated in biological research requires novel mathematical and algorithmic methods in order to scale to massive image databases. Read more

Past Projects

Supervised and Active Learning for Industrial Quality Control

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Analysis of Spectral Images

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Industrial Process Control

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Analysis of Mass Spectrometry Data

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Classification of In-vivo Magnetic Resonance Spectra

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Automatic Detection and Identification of Particles with SEM/EDX

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Automatic Process Control for Laser Welding

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Statistical Characterization of Surface Topography

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Archaeological Remote Sensing

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Accurate Frequency Estimation for Non-equispaced Samples of Harmonic Processes

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Density Cluster Analysis

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Classification of Astronomical Data

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Bayesian Surface Estimation

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Automated Defect Detection in X-ray CT Images

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