[SA_Scat] BioSAXS Essentials 7

[Richard Gillilan]

Our annual BioSAXS Essentials training course is filling rapidly as usual. Only 8 seats left. Register now while there are still openings.

http://meetings.chess.cornell.edu/BioSAXSEssentials/07/index.html

ps: if all goes according to plan, it is looking like we will actually have *two full SEC-SAXS stations* running at the same time for students! This is a unique hands-on opportunity to learn the highly popular technique which couples size exclusion chromatography to small angle x-ray scattering.

Richard Gillilan
MacCHESS

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Cornell High energy Synchrotron Source
Ithaca, NY

May 16-18, 2017

MacCHESS is offering its seventh intensive HOWTO course in BioSAXS<http://www.macchess.cornell.edu/MacCHESS/biosaxs.html>. Students will have a day and a half of lectures and hands-on software tutorials on the basics of BioSAXS data collection and processing from expert practitioners in the field. This will be followed by real data collection on MacCHESS beamlines (F1 and G1 stations).

While the primary purpose of the course is educational, students may bring a limited number of their own research samples. Prepared standard protein samples will be available to all students for practice.

Remote students are welcome, and will receive digital copies of all lectures, tutorials, and sample data, and will have access to a live stream of the course lectures on the first day. Due to the hands-on nature of the sessions, remote students will not have access to instructors during the software tutorial (though they will receive the tutorial documents). They also will not have data collection time during the course.

Course topics:

  *   Basic principles and processing methods
  *   Critical sample preparation and data collection procedures
  *   Evaluating data quality
  *   Computing envelopes and data modeling
  *   Online size-exclusion chromatography (SEC-SAXS)
  *   Overview of advanced and emerging methods
  *   What you need to know for publication
  *   Hands-on tutorial with data processing software