Imaging techniques have seen an intense development using neutron and synchrotron radiation over the past 20 years, with the development of brighter sources and efficient detectors. Newest developments in imaging techniques will be presented and discussed. Beyond the experimental aspects, the data analysis workflow is essential for an efficient and objective interpretation of experimental data.

This school will, thus, be an “image language course” in which experts and beginners are discussing the creation and use of images. With the help of “best practice” and “bad practice” examples fundamental aspects of image production and image operation shall be highlighted and discussed, from the definition of experimental parameters, the reconstruction algorithms, to data visualization.

The course will cover a wide range of experimental imaging techniques: two and three-dimensional imaging, time-resolved experiments, absorption, phase-contrast, scanning microscopy, coherent diffraction imaging and ptychography, etc…

The school will begin with two days of lectures covering major techniques and theoretical aspects of image processing, one poster session, one day of practicals on ESRF beamlines, one day of tutorials focusing on data analysis, and one day of lectures on more specialized topics.

NOTE: the school is primarily intended for young researchers (PhD students and postdocs), but more experienced researchers interested in the topic can also apply.


There will be a selection of candidates due to a limited number of participants.

  • Pre-registration (applications) opening: 15 February 2017
  • NEW Application deadline: 19 March 2017

  • Notification of acceptance: 27 March 2017
  • Final registration deadline: 24 April 2017


José Baruchel (ESRF), Vincent Favre-Nicolin (ESRF), Claudio Ferrero (ESRF), Birgit Kanngiesser (TU Berlin), Judith Peters (Université Grenoble Alpes), Claudine Roméro (ESRF), Cino Viggiani (Université Grenoble Alpes)

Contact: the organisers of HSC19


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Banner image credits: A. Kitaoka, P.Ginter, V. Fernandez, P. Tafforeau, E. Lehmann