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BEGIN:VEVENT
DTSTAMP:20261007T003426Z
DTSTART;VALUE=DATE-TIME:20190617T130000
DTEND;VALUE=DATE-TIME:20190617T140000
SUMMARY:Joanna Leng (Leeds)
TZID:Europe/London
UID:20190617-8a17841b6a11d29f016a51128bb50a03@warwick.ac.uk
CREATED:20190530T144613Z
DESCRIPTION:Interactive Visualization for the Design\, Prototyping and De
 velopment of Research Software This talk will use a case study of develo
 ping research software in python for the analysis of Direct Stochastical
  Optical Reconstruction Microscopy (dSTORM) data. Imaging researchers\, 
 Michelle Peckham and Alistair Curd at the University of Leeds\, had deve
 loped python scripts to analyse data from a new imaging technique. They 
 needed the scripts to be turned into an easy-to-use tool for the researc
 hers in their lab\, for publication and to support their future research
  in this area. The talk will go through the technical issues and how the
 y were solved with special consideration for the role of visualization i
 n this process. Joanna Leng is an EPSRC funded RSE (Research Software En
 gineering) Fellow having worked in research computing for 20 years\; wit
 h a PhD and MSc in Visualization and a BSc in Biophysics. Her fellowship
  is broad with the title Research Computing and Imaging\, following the 
 successful model of the SCI (Scientific Computing and Imaging) Institute
  in Utah that is ranked top for visualization in the world. She is partn
 ered with 2 national experimental facilities Diamond Light Source and Su
 perSTEM\, working on 7 software engineering case studies to develop comp
 utational workflows and training materials with the aim of accelerating 
 the science\, improving consistency and improving the adoption of advanc
 ed imaging techniques into academic research.
LOCATION:D2.02 Engineering
CATEGORIES:
LAST-MODIFIED:20190530T144613Z
ORGANIZER;CN=Peter Brommer:
END:VEVENT
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