Orchid root with Mycorrhiza, S. R. Senthilkumar, St. Joseph´s College, India Offretite Scagno, TESCANOrchid root showing with idioblastic cells, S. R. Senthilkumar, St. Joseph´s College, India
Powder metallurgy substrate, TESCANOrchid root stained with Acridine orange, S. R. Senthilkumar, St. Joseph´s College, India Energy filtered TEM micrograph of yttria (in green) - zirconia (in red) multilayers, Chanchal Ghosh,  IGCAR, Kalpakkam, India
Rhaphoneis - Pavel Skaloud, Charles University, Věda je krásnáPolymer fibers, TESCANScenedesmus quadricauda - Viktor Sykora, Charles University , Věda je krásná
Rotaviruses, Electronmicroscopy, Elisabeth M. Schraner, Institutes of Vet. Anatomy and Virology, Switzerland 2- CVD grown diamond film, Magdalena Parlinska, University of Rzeszow, Poland SEM image of ink-bottle silica nanopores, A. Sterczynska,NanoBioMediacl Centre (CNBM), Poznan, Poland
Paulinella chromatophora - Yvonne Nemcova, Charles University, Věda je krásnáGold on Germanium, Benedykt R. Jany, Marian SmoluchowskiInstitute of Physics - Jagiellonian University, Poland Chroococcus giganteus - Jan Stastny, Charles University, Věda je krásná
PbI2 Crystallization, TESCANPhragmites communis - Jan Martinek, Charles University, Věda je krásnáDiatoms World, Mostafa Moonir Shawrav, Institute of Solid State Electronics, Austria
1- Gel beads coated with a RuC13 coatings, Magdalena Parlinska, University of Rzeszow, Poland Plasma coating crossection, TESCANScabiosa columbaria - Viktor Sykora, Charles University, Věda je krásná

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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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