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

Recent Publications

We have recently published a new tool for high-throughput analysis of pavement cell shape. The tool is also well-suited to quantify shape of other cells:

PaCeQuant: A Tool for High-Throughput Quantification of Pavement Cell Shape Characteristics   , Birgit Möller, Yvonne Poeschl, Romina Plötner, Katharina Bürstenbinder,

Cooperation partners:

PaCeQuant has been implemented als part of MiToBo, thus, extends ImageJ/Fiji   .

Tools, Libraries, Software

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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Research Interests

  • Pattern Recognition
  • Digital Image Processing
  • Active Vision
  • IImage Sequence Analysis & Tracking
  • Image Segmentation
  • Active Contour Techniques
  • Analysis of biological and biomedical imaging data
  • 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 developing advanced tools for the analysis of minirhizotron images. I am also involved in research projects dealing with the analysis of video data of TV debates and of medieval documents.

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List of Publications

Publications

List of Publications

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