
Implementation of wedged‐serial protein crystallography at PROXIMA‐1
Author(s) -
Chaussavoine Igor,
Isabet Tatiana,
Lener Robin,
Montaville Pierre,
Vasireddi Ramakrishna,
Chavas Leonard M. G.
Publication year - 2022
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s1600577521013242
Subject(s) - microfluidics , computer science , modular design , diffraction , sample (material) , data collection , set (abstract data type) , serial communication , chip , computer hardware , computational science , crystallography , nanotechnology , materials science , optics , chemistry , physics , mathematics , chromatography , programming language , telecommunications , statistics
An approach for serial crystallography experiments based on wedged‐data collection is described. This is an alternative method for recording in situ X‐ray diffraction data on crystalline samples efficiently loaded in an X‐ray compatible microfluidic chip. Proper handling of the microfluidic chip places crystalline samples at geometrically known positions with respect to the focused X‐ray interaction area for serial data collection of small wedges. The integration of this strategy takes advantage of the greatly modular sample environment available on the endstation, which allows access to both in situ and more classical cryo‐crystallography with minimum time loss. The method represents another optional data collection approach that adds up to the already large set of methods made available to users. Coupled with the advances in processing serial crystallography data, the wedged‐data collection strategy proves highly efficient in minimizing the amount of required sample crystals for recording a complete dataset. From the advances in microfluidic technology presented here, high‐throughput room‐temperature crystallography experiments may become routine and should be easily extended to industrial use.