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PyMDA: microcrystal data assembly using Python.

Authors :
Takemaru, Lina
Guo, Gongrui
Zhu, Ping
Hendrickson, Wayne A.
McSweeney, Sean
Liu, Qun
Source :
Journal of Applied Crystallography; Feb2020, Vol. 53 Issue 1, p277-281, 5p
Publication Year :
2020

Abstract

The recent developments at microdiffraction X‐ray beamlines are making microcrystals of macromolecules appealing subjects for routine structural analysis. Microcrystal diffraction data collected at synchrotron microdiffraction beamlines may be radiation damaged with incomplete data per microcrystal and with unit‐cell variations. A multi‐stage data assembly method has previously been designed for microcrystal synchrotron crystallography. Here the strategy has been implemented as a Python program for microcrystal data assembly (PyMDA). PyMDA optimizes microcrystal data quality including weak anomalous signals through iterative crystal and frame rejections. Beyond microcrystals, PyMDA may be applicable for assembling data sets from larger crystals for improved data quality. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00218898
Volume :
53
Issue :
1
Database :
Complementary Index
Journal :
Journal of Applied Crystallography
Publication Type :
Academic Journal
Accession number :
141541661
Full Text :
https://doi.org/10.1107/S160057671901673X