Mail-in at the PXRR Beamlines



Goals
and
Scope
"Mail-in Data Collection" is inexpensive (cost of sending a dewar) and an efficient means of beamline operation created in response to the growing need for frequent synchrotron beam time by the protein crystallographic community. Users send their crystals to a NSLS beamline scientist to collect data on the user's behalf.

Collaboration and publication policy
Requirements for Shipments from outside USA
See article about Mail-in : Acta Cryst

This program is very popular and successful and in no way exclusive of the other modes of access for beam time. We actually enjoy meeting people we collaborate with.Publications list
Experiments **If your samples are potentially hazardous we will need to know in advance so we can consider safety issues and help you fill out a Safety Approval Form.

Typical experiments range from screening (cryo-protectant, mosaicity, resolution), solving structures via SAD (MAD) datasets mostly at the Se edge or push for resolution on native datasets.
Tips for a successful trip
How to proceed
  1. Contact Annie Héroux if you have any questions about the feasibility of the desired experiment.
  2. Access our database (PXdb) and create your group information. We strongly recommend to have a valid Guest Registration with the NSLS (life number).
  3. Fill out a Project Form for each project you are sending crystals.
  4. Provide us with some information about the crystals via the Pucks/Cane Setup.
  5. Complete a Mail-in Request in the PXdb.
  6. Send the dewar
  7. Check the progress via the database, Download your data


Mail-in Team
Beamline scientists working with you on your projects.
Ask us about other access modes or complementary techniques :

Qmx
Robot compatibility
Spectrophotometer(X26C)
Database
Annie
Héroux
Howard
Robinson
Alexei
Soares

Stats
Publications list

Wavelength and experiments performed.

It is rare to actually need 3 lambdas to solve a structure (MAD). Most projects will work better doing a SAD experiment. Radiation damage has a serious impact on the quality of the data.