VTX Crystallography Workshop
The Crystallography Laboratory held its fifth annual summer workshop in crystallography for undergraduates between July 9-July 12, 2007. Participants were given an introduction to crystallography theory, taught how to collect data from their own crystals on the laboratory's diffractometers, and how to determine the structures from their data. Without previous crystallographic experience many students finished with refined crystal structures ready for publication!
The 2007 workshop was supported by the Department of Chemistry, the VT Crystallography Laboratory and Oxford Diffraction.
The annual workshop is open to undergraduate science majors and faculty from Universities in the Commonwealth of Virginia and other regional Universities, and to undergraduate students at Virginia Tech. For more information please contact Dr. Carla Slebodnick by email.
Students and faculty of the 2007 workshop enjoying a lunch break.
Pictures from the 2005 and 2006 workshops are still available.
Course Dates: July 9th - July 12th 2007
Directions to the Crystallography Lab are here.
Light lunches are provided for all participants, and dinner and local accommodation will be covered for registrants traveling long distances (2 people/room, $10 dinner allowance).
Requirements & Registration
No previous experience of crystallography is required. The course is intended for undergraduate science majors and their faculty at universities in Virginia and the region.
Day 1: Start 8:30am
Course Overview. Crystallography Lab Tour. Software Installation. Lecture on Crystallography Basics (Braggs law, Structure Factors, Phase Problem). Mount a crystal and begin an overnight data collection.
Hands-on Crystal Screening. Demonstrate data reduction, structure solution, structure refinement, and preparing results for publication (CIF files). Begin data collections on samples.
Lecture on Crystallographic Symmetry (What is a space group?). Perform data reduction, structure solution, and structure refinement on student data sets. Collect data on remaining samples.
Day 4: Optional
Continue with more difficult datasets.