Workshops

	SFB 755 Autumn School on Nanoscale Photonic Imaging (Talk) October 27 - 28, 2016 in Göttingen
	Approximation Methods and Data Analysis (Talk) September 5 - 9, 2016 in Hasenwinkel
	Joint Annual Meeting of GAMM and DMV 2016 (Talk) March 7 - 11, 2016 in Braunschweig
	International Symposium 2016 on Biological Dynamics from Microscopic to Mesoscopic Scales (Poster) February 22 - 25, 2016 in Grimma
	Mecklenburg Workshop: Approximation Methods and Function Spaces (Talk) March 16 - 20, 2015 in Schloss Hasenwinkel, Germany
	SFB 755 Winter School 2015, Nanoscale Photonic Imaging (Talk, Poster) January 15 - 16, 2015 in Teistungen, Germany
	Mathematical Signal Processing and Phase Retrieval (Poster) September 01 - 03, 2014 in Göttingen
	24. Rhein-Ruhr-Workshop (Poster) January 31 - February 01, 2014 in Bestwig
	Advances in Mathematical Image Processing (AIP) (Talk) September 30 - October 2, 2013 in Annweiler
	Autumn School of CRC 755 and CRC 937 (Talk, Poster) September 01 - 05, 2013 in Wildbad Kreuth
	1st International Symposium on Nanoscale Photonic Imaging (Poster) April 4 - 5, 2013 in Göttingen

Publications

	Iterative Phase Retrieval with Sparsity Constraints Stefan Loock, Gerlind Plonka PAMM 16(1), 835-836, 2016 (DOI: 10.1002/pamm.201610406)
	Phase Retrieval with Sparsity Constraints Stefan Loock Dissertation, 2016 (published online on 29 June 2016)
	Using sparsity information for iterative phase retrieval in x-ray propagation imaging Anne Pein, Stefan Loock, Gerlind Plonka, Tim Salditt Opt. Express 24(8), 8332-8343., 2016 (open access)
	Phase retrieval for Fresnel measurements using a shearlet sparsity constraint Stefan Loock, Gerlind Plonka Inverse Problems 30 (2014) 055005, 2014 (preprint as download)

Software

	pyShearLab - A Python 2D Shearlet Toolbox A Python toolbox for the two-dimensional discrete shearlet transform based on ShearLab3D. Stefan Loock
	PRwSC - A Toolbox for Phase Retrieval with Sparsity Constraints A toolbox for Matlab and Python (pyPRwSC) for the reconstruction of images from phase retrieval data using sparsity constraints. Stefan Loock