CXIDB ID 76
Deposition Summary
Depositor: Nicholas Sauter
Contact: nks...@lbl.gov
Deposition date: 2018-01-31
Last modified: 2018-06-06
DOI: 10.11577/1440250
Publication Details
Title: A convolutional neural network-based screening tool for X-ray serial crystallography
Authors: Tsung-Wei Ke et al.
Journal: J. Synchrotron Radiation
Year: 2018
DOI: 10.1107/S1600577518004873
Experimental Conditions
Method: Serial Femtosecond Crystallography
Sample: Thermolysin, Photosystem II, Hydrogenase, Cyclophilin A
Wavelength: from 1.75 Å (7.09 keV) to 1.27 Å (9.77 keV)
Lightsource: LCLS
Beamline: CXI and MFX
Data Files
Data Files: lg36/r0087_2000.h5 (9.29 GB)
Data Files: l498/r0027_2000.h5 (8.44 GB)
Data Files: ln84/r0095_2000.h5 (13.21 GB)
Data Files: ln83/r0018_2000.h5 (12.78 GB)
Data Files: lo19/r0020_2000.h5 (12.52 GB)
Auxiliary Files
Analysis Description: github.com/nksauter/fv5080 (638 B)

Description

Data are written in HDF5 format, 2000 images per dataset. Image data may be viewed with the program dials.image_viewer as follows:

  1. Download DIALS.
  2. Work on your local machine - slow X-connections will stall.
  3. Download FormatHDF5ImageDictionary.py and place it in the following new directory created on your local filesystem; ${HOME}/.dxtbx/
  4. Use the command dials.image_viewer <*.h5 file>

Licensed under the CC0 Public Domain Dedication Waiver.

Please give proper credit via citations according to established scientific practice.