On Simulating 3D Fluorescent Microscope Images

  • David Svoboda
  • Marek Kašík
  • Martin Maška
  • Jan Hubený
  • Stanislav Stejskal
  • Michal Zimmermann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)


In recent years many various biomedical image segmentation methods have appeared. Though typically presented to be successful the majority of them was not properly tested against ground truth images. The obvious way of testing the quality of new segmentation was based on visual inspection by a specialist in the given field. The novel 3D biomedical image data simulator is presented in this paper. It offers the results of high quality. The comparison of generated synthetic data is compared against real image data using standard similarity techniques.


synthetic image simulator procedural texture convolution fluorescent optical microscope 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • David Svoboda
    • 1
  • Marek Kašík
    • 1
  • Martin Maška
    • 1
  • Jan Hubený
    • 1
  • Stanislav Stejskal
    • 1
  • Michal Zimmermann
    • 1
  1. 1.Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, BrnoCzech Republic

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