Image Analysis

In the Image Analysis research area, we develop and apply methods for computational processing and analysis of digital microscopy images, especially for solving problems in biology and medicine. A wide range of biomedical research projects rely on microscopy data which require specifically designed image analysis workflows to support the identification of complex biological processes. In close collaboration with our partners from research and industry, we develop algorithms and software that analyze microscopy images, for example fluorescence microscopy images of cells or other kinds of organic material. Our focus in algorithm development is mainly on methods of signal processing, machine learning, and computer vision for information extraction and interpretation. Besides filtering and denoising for pre-processing and feature extraction methods, we use machine learning approaches such as deep learning for object detection, segmentation, and object tracking. In addition to workflows and algorithms, we implement image analysis software (e.g. Spotty) for biological research to automatically detect, track, and analyze cells and particles to support fundamental research and drug development. For image analysis, we build on tools and frameworks such as MATLAB, OpenCV, and TensorFlow.

 

 

Selected Publications

Selected Projects

Tomo3D

Moderne Fluoreszenz-Bildgebungstechniken gewinnen in allen Forschungsbereichen der Life Sciences, speziell in der biomedizinischen Diagnostik, z.B. in den Bereichen Tissue Engineering und Zell-Analyse im Mikro- und Nanometer-Bereich, kontinuierlich an Bedeutung. Im Rahmen des Projekts TOMO3D soll ein Fluoreszenzmikroskopie-Setup zur 3D Bildgebung an der FH OÖ aufgebaut werden. Durch dieses Setup soll es möglich werden, die Kombination einer dreidimensionalen Stage mit Fluoreszenzmikroskopie in der Diagnostik und im Monitoring in der Biomedizin einsetzen zu können. In Kombination mit Methoden der Bioinformatik, die in diesem Projekt entwickelt werden, sollen folgende biomedizinische Forschungsziele erreicht werden: Ermöglichung von a) mikroskopischen Analysen von Knorpelgewebe in 3D im Zusammenhang mit regenerativer Medizin und Tissue Engineering, b) nanoskopischen 3D-Untersuchungen von Gewebe zur Klassifikation von Krankheitsfortschritten, und c) Proteindichteanalysen von 3D-Polymerstrukturen und Gewebeschnitten.


Head

Prof.(FH) DI Dr. Stephan Winkler

Researchers

Daniela Borgmann MSc

Elisabeth Daniel MSc

Lisa Obritzberger MMSc

Susanne Schaller MMSc

Duration

2015 - present

Research Areas

ImageAnalysis

DataScience

Research Institutions

University of Applied Sciences, Upper Austria, Hagenberg Campus

University of Applied Sciences, Upper Austria, Linz Campus

Research focus

Software technology and application 

 

 

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