From MiToBo
Revision as of 18:02, 16 May 2020 by Moeller (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

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.

  • Y. Poeschl, B. Möller, L. Müller, and K. Bürstenbinder,
    User-friendly assessment of pavement cell shape features with PaCeQuant: Novel functions and tools.
    In Methods in Cell Biology, Academic Press, 2020.
  • B. Möller and K. Bürstenbinder,
    Semi-automatic Cell Segmentation from Noisy Image Data for Quantification of Microtubule Organization on Single Cell Level.
    In Proc. of IEEE 16th International Symposium on Biomedical Imaging (ISBI '19), pp. 199-203, ISBN: 978-1-5386-3640-4, Venice, Italy, April 2019.
  • B. Möller and M. Schattat,
    Quantification of Stromule Frequencies in Microscope Images of Plastids combining Ridge Detection and Geometric Criteria.
    In Proc. of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING, pp. 38-48, ISBN: 978-989-758-353-7, INSTICC, SciTePress, Prague, Czech Republic, February 2019.
  • 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:, 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.
  • 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.