Martin Luther University Halle-Wittenberg

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Dr. Birgit Möller

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Pattern Recognition and Bioinformatics
Institute of Computer Science
Martin-Luther-University Halle-Wittenberg
Von-Seckendorff-Platz 1
06099 Halle (Saale) / Germany

Room:   4.12
Phone:  ++49-345-55-24745  
Fax:      ++49-345-55-27039
Email:  birgit.moeller_AT_informatik.uni-halle.de

GnuPG/PGP: Key (ID: 8E3CC612)

fingerprint: E267 9570 BC3A D0A5 C4B9  A850 A614 8303 8E3C C612

Here you can find my Curriculum Vitae.

You are also invited to follow me on ResearchGate   .

List of Publications

Publications

List of Publications

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Research Interests

  • Digital Image Processing
  • Computer Vision
  • Pattern Analysis and Recognition
  • Machine Learning and Data Mining
  • Analysis of Biological and Biomedical Image Data
  • Image Segmentation
  • Active Vision
  • Analysis of Image Sequences and Tracking
  • Human-Machine-Interaction & Robotics

Current Research Topics and Projects

Aktuelle Forschung

Current Work

My current research is mainly focused on the analysis of biomedical image data, applying techniques like segmentation with active contours, texture analysis or techniques of pattern classification. In addition, we are currently developing the tool rhizoTrak for handy manual annotation of minirhizotron images. rhizoTrak will in near future be extended with methods for automatic segmentation of the images.

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Tools, Libraries, Software

rhizoTrak Tool    

rhizoTrak

rhizoTrak is a software tool for handy manual annotation of root images. It is particularly well-suited for the annotation of time-series images as for example acquired with minirhizotrons.

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CytoskeletonAnalyzer2D

CytoskeletonAnalyzer2D

This tool allows to quantify similarities and differences in structural organization of the cytoskeleton within cells, e.g., with regard to actin or microtubuli structures.

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PaCeQuant - High-Troughput Quantification of Cell Shape

PaCeQuant

A Tool for High-Throughput Quantification of Pavement Cell Shape Characteristics

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MiToBo Cell Counter

MiToBo Cell Counter

An ImageJ/Fiji plugin for semi-automatic labeling and counting of spot-like structures and small cells in images. The plugin is based on the popular ImageJ CellCounter    plugin by Kurt De Vos and extends its functionality towards improved usability and integration of automatic segmentation algorithms.

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MiToBo - A microscope image analysis toolbox

MiToBo

A microscope image analysis toolbox

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Alida - Advanced Library for Integrated Development of Data Analysis Applications

Alida

Advanced Library for Integrated Development of Data Analysis Applications

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