Butterfly Wings, Benedykt R. Jany, Marian SmoluchowskiInstitute of Physics - Jagiellonian University, Poland Rotaviruses, Electronmicroscopy, Elisabeth M. Schraner, Institutes of Vet. Anatomy and Virology, Switzerland 3- Diatom, Magdalena Parlinska, University of Rzeszow, Poland
Polymer fibers, TESCANOrchid root stained with Acridine orange, S. R. Senthilkumar, St. Joseph´s College, India Collagen fibers in cartilage, E. I. Romijn, NTNU, Trondheim
Paulinella chromatophora - Yvonne Nemcova, Charles University, Věda je krásná2- CVD grown diamond film, Magdalena Parlinska, University of Rzeszow, Poland Plasma coating crossection, TESCAN
Coral, TESCANChroococcus giganteus - Jan Stastny, Charles University, Věda je krásnáProcapsid and nucleocapsid of dsRNA bacteriophage phi6, D. Nemecek, CryoEM Research Group CEITEC, Czech Republic
Leaf Fract, TESCANOrchid root with Mycorrhiza, S. R. Senthilkumar, St. Joseph´s College, India Orchid root showing with idioblastic cells, S. R. Senthilkumar, St. Joseph´s College, India
Scenedesmus quadricauda - Viktor Sykora, Charles University , Věda je krásná1- CVD grown diamond film, Magdalena Parlinska, University of Rzeszow, Poland Powder metallurgy substrate, TESCAN
Gold on Germanium, Benedykt R. Jany, Marian SmoluchowskiInstitute of Physics - Jagiellonian University, Poland Energy filtered TEM micrograph of yttria (in green) - zirconia (in red) multilayers, Chanchal Ghosh,  IGCAR, Kalpakkam, India  PbI2 Crystallization, TESCAN

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Interactive Data Analysis with Python/Hyperspy  

0rganizer: Francisco de la Peña, Michael Walls

Contact: fjd29@cam.ac.uk

Abstract: In all forms of microscopy, as in many other fields, several technological breakthroughs have dramatically increased the amount, rate and precision of experimental data that can be recorded. In parallel, there have been important advances in the field of data analysis which can greatly assist in the task of extracting information from multi-dimensional datasets. In this context, the Python programming language is rapidly establishing itself as the *lingua franca* in most areas of scientific computing, including microscopy.
In this workshop, brief introductory lectures will be followed by hands-on tutorials on microscopy data analysis using Hyperspy (a Python package for interactive multidimensional data analysis) and Swift (a Python package for live data acquisition and analysis). The topics covered will range from multidimensional data visualization to blind source separation methods and will have a strong emphasis on spectroscopic data analysis. Most examples will be taken from the field of electron microscopy but the same methodology can be applied to other domains. No previous knowledge of the Python programming language is required.

Date: one day workshop, September 7, 2014 from 9AM to 4:30PM

Venue: Faculty of Science, Charles University in Prague, Viničná 7, Prague 2 (computer classroom B5, 1st floor)

Minimal number of participants: 20

Registration fee: 60 EUR (included coffee breaks, one lunch and workshop materials)

 

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