Publications

MiToBo has been used in diverse research projects. Below you can find a selection of our publications about MiToBo itself and also several of our research papers in which MiToBo has successfully been applied to various tasks.

• D. Mitra, S. Klemm, P. Kumari, J. Quegwer, B. Möller, Y. Poeschl, P. Pflug, G. Stamm, S. Abel, K. Bürstenbinder,
  Microtubule-associated protein IQ67 DOMAIN5 regulates morphogenesis of leaf pavement cells in Arabidopsis thaliana.
  In Journal of Experimental Botany, 70(2):529-543, January 2019.

• B. Möller, Y. Poeschl, R. Plötner, and K. Bürstenbinder,
  PaCeQuant: A Tool for High-Throughput Quantification of Pavement Cell Shape Characteristics.
  In Plant Physiology, 175(1), September 2017.

• K. Bürstenbinder, B. Möller, R. Plötner, G. Stamm, G. Hause, D. Mitra, and S. Abel,
  The IQD Family of Calmodulin-Binding Proteins Links Calcium Signaling to Microtubules, Membrane Subdomains, and the Nucleus.
  In Plant Physiology, 173(3):1692-1708, March 2017.

• B. Möller, M. Glaß, D. Misiak and S. Posch, MiToBo – A Toolbox for Image Processing and Analysis,
  In Journal of Open Research Software 4: e17, DOI: http://dx.doi.org/10.5334/jors.103, 2016.

• L. Franke, B. Storbeck, J. L. Erickson, D. Rödel, D. Schröter, B. Möller, and M. H. Schattat,
  The 'MTB Cell Counter' a versatile tool for the semi-automated quantification of sub-cellular phenotypes in fluorescence microscopy images. A case study on plastids, nuclei and peroxisomes,
  In Journal of Endocytobiosis and Cell Research, 26:31-42, 2015.

• B. Möller, E. Piltz and N. Bley, Quantification of Actin Structures using Unsupervised Pattern Analysis Techniques,
  In Proc. of Int. Conf. on Pattern Recognition (ICPR '14), IEEE, pp. 3251-3256, Stockholm, Sweden, August 2014.

• D. Misiak, S. Posch, M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller, Extraction of Protein Profiles from Primary Neurons using Active Contour Models and Wavelets,
  In Journal of Neuroscience Methods , vol. 225, pages 1-12, March 2014.

• M. Glaß, B. Möller and S. Posch, Scratch Assay Analysis in ImageJ',
  In Proc. of ImageJ User & Developer Conference, pp. 211-214, ISBN 2-919941-18-6, Mondorf-les-Bains, Luxembourg, October 2012.

• B. Möller and D. Misiak, SnakeOptimizer - Object Segmentation with Parametric Active Contours in ImageJ,
  In Proc. of ImageJ User & Developer Conference, pp. 215-217/222, ISBN 2-919941-18-6, Mondorf-les-Bains, Luxembourg, October 2012.

• M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch, Cell Migration Analysis: Segmenting Scratch Assay Images with Level Sets and Support Vector Machines,
  In Pattern Recognition, vol. 45, no. 9, pp. 3154-3165, Elsevier, September 2012.

• B. Möller and S. Posch, Comparing Active Contours for the Segmentation of Biomedical Images,
  In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 736-739, IEEEXplore Digital Library, ISBN 978-1-4577-1856-4, Barcelona, Spain, May 2012.

• B. Möller and S. Posch, MiCA - Easy Cell Image Analysis with Normalized Snakes,
  In Proc. of Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB), Heidelberg, Germany, September 2011.

• M. Glaß, B. Möller, A. Zirkel, K. Wächter, S. Hüttelmaier and S. Posch, Scratch Assay Analysis with Topology-preserving Level Sets and Texture Measure,
  In Proc. of 5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Jordi Vitrià, João M. Sanches, and Mario Hernández, editors, Springer, LNCS 6669, pp. 100-108, Las Palmas de Gran Canaria, Spain, June 2011.