2017 March 15 - April 24
2017 May 17 - June 29
2017 BTR deadline: 04/17/17
2017 October 11 - December 21
2017 Proposal deadline: 08/01/17
2017 BTR deadline: 09/10/17
MacCHESS is offering its sixth intensive HOWTO course in BioSAXS. 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.
NEW: This course now accepts remote students. These students will receive digital copies of all lectures, tutorials, and sample data, and will have access to a live stream of the course lectures. Remote students will not have data collection time during the course. This option is intended for current MacCHESS BioSAXS users who want a refresher, or for new users who plan to visit MacCHESS in the future.
- 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
Students will be assigned into small groups for 6 hour data collection slots starting Friday night and running through Sunday morning. If you are coming as a group or if you need a particular time slot (due to early departing flight), please notify Richard Gillilan (firstname.lastname@example.org) for scheduling. Lectures and tutorials are finished by noon on Saturday. There are no other officially scheduled activities besides your data collection slot, so you may wish to make your travel arrangements once you know when your slot will be.
SEC-SAXS will be available to students during the workshop. However, due to the time intensive nature of the technique, not everyone will be able to use it. The use of the SEC-SAXS setup will be prioritized for students/groups with appropriate samples. If you think your sample may benefit from SEC-SAXS, please notify Richard Gillilan (email@example.com) for scheduling.
Richard Gillilan (MacCHESS)
Thomas Grant (Hauptman-Woodward Institute)
Kushol Gupta (UPENN Medical school)
Jesse Hopkins (MacCHESS)
Steve Meisburger (Princeton)
** Please also specify if you wish to bring your own samples.**