Home

Research project: Automatic analysis of microscopy images of Langerhans islets 

Project leader: Jan Kybic and Jan Svihlik

In collaboration with IKEM, we are developing automatic techniques to analyze microscopic images of Langerhans islets to determine their suitability for transplantation.

Publications:

All publications listed at WoS can be seen at my ResearcherID.

Selected papers:

  • Švihlík J., Kybic J., Habart D., et al: Langerhans Islet Volume Estimation from 3D Optical Projection Tomography. Computer Vision – ACCV 2016 Workshops. ACCV 2016. Lecture Notes in Computer Science, 10117, 2017. Springer.
  • Habart, D., Švihlík, J., Schier, J., et al: Automated Analysis of Microscopic Images of Isolated Pancreatic Islets. Cell Transplantation. 25(12), 2016.
  • Mojžíš, F., Kukal, J., Švihlík, J.: Application of optimization heuristics for complex astronomical object model identification. Soft Computing. 20(2), 2016. Springer. Online First since Nov. 2014.
  • Dvořák J., Švihlík J., Habart D. and Kybic J.: Comparison of volume estimation methods for pancreatic islet cells. Medical Imaging 2016. Image Processing. Bellingham: SPIE, 2016, vol. 9784.
  • Švihlík J., Kybic J., Habart D.: Automated separation of merged Langerhans islets. Medical Imaging 2016. Image Processing. Bellingham: SPIE, 2016, vol. 9784.
  • Švihlík, J., Kybic, J., Habart, D.: Color normalization for robust evaluation of microscopy images. In Optics & Photonics 2015: Applications of Digital Image Processing XXXVIII. Bellingham: SPIE, 2015, vol. 9599, p. 1-6.
  • Švihlík, J., Kybic, J., Habart, D., et al: Classification of microscopy images of Langerhans islets.  In Medical Imaging 2014. Bellingham (Washington): SPIE, 2014, vol. 90341S. ISBN 978-0-8194-9827-4.

Professional activities:

Reviewer for Journal of Electronic Imaging (SPIE), Optical Engineering (SPIE), RadioengineeringSignal, Image and Video Processing (Springer), Sensors and various conferences: IWSSIP 2012, INES 2010, Radioelektronika 2011.