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WEBINAR: CoWork series - An Introduction to hard X-ray forward ptychography and ptychographic computed tomography, with Maik Khant, MAX IV Laboratory

Maik.Khant.jpg

The CoWork webinar series is dedicated to the exploitation of the coherence properties of X-rays for advanced materials characterization, with a special focus on inverse microscopy techniques, such as Coherent Diffraction Imaging (CDI), Ptychography and Holography. It is an introduction to Coherent X-ray imaging methods to facilitate the access to advanced microscopy techniques to new users and it welcomes all researchers intrigued by the spectacular coherence properties of X-rays produced at modern synchrotron sources – of which MAX IV is a first example.

When: Wednesday Oct 28, 14.00 - 15.00
Speaker: Maik Khant, MAX IV Laboratory - Lund University, Sweden
Title: An Introduction to hard X-ray forward ptychography and ptychographic computed tomography
Zoom link/registration (Register in advance for this meeting): https://lu-se.zoom.us/meeting/register/u5Mrf-uhpzIsHNJrWFZpnTP4AP5h0YfA4R0g
After registering, you will receive a confirmation email containing information about joining the meeting.

Bio:
Maik Kahnt, Dr. rer. nat in Physics at the University of Hamburg, Germany. Previously member of the "X-Ray Nanoscience and X-Ray Optics" at PETRA III (DESY), now PostDoc at the NanoMAX beamline (MAX IV) where he focusses on tomographic methods on the nanoscale. 9 years of experience in X-ray microscopy methods, X-ray optics characterization and development of algorithms for coherent imaging techniques.

Abstract:
Forward ptychographic imaging has become a widely applied method with visible light, X-rays and even electrons. Quantitative information about samples on the micron and nanoscale can be obtained independent on the size of the probing beam. The field of view is only limited by the range of the scanning motors and the achievable resolution only by the size of the detector and the experimental time. But is it really that wonderful? The workshop will focus on three points:
* the basic concepts of the experiment and the data reconstruction algorithms: assumptions, limitations, critical parameters
* what information can be extracted / what can be learned about the sample
* where can such measurements be performed and whom to approach in order to do so

Webinar moderators
Members of the organising group.

Please contact either gerardina.carbone@maxiv.lu.se or asa.grunning@linxs.lu.se for any questions.