Premium
Using image analysis for automated crystal positioning in a synchrotron X‐ray beam for high‐throughput macromolecular crystallography
Author(s) -
Andrey Philippe,
Lavault Bernard,
Cipriani Florent,
Maurin Yves
Publication year - 2004
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s002188980400158x
Subject(s) - centring , synchrotron , throughput , crystal (programming language) , position (finance) , diffraction , materials science , crystallography , x ray crystallography , optics , chemistry , computer science , physics , engineering , mechanical engineering , telecommunications , finance , economics , wireless , programming language
A fully automated method for detecting and centring protein crystals for X‐ray crystallography is described. It relies on the analysis of rotating crystal trace images. No assumption is made concerning the shape, absolute size, or position of the crystal within its holder. Crystals as small as 15 µm were successfully positioned. This represents an important step towards high‐throughput structural studies.