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Updated: Jan 12, 2026

A Sample Preparation Pipeline for Microcrystals at the VMXm Beamline
Published on: June 17, 2021
Sample delivery methods for protein X-ray crystallography with a special focus on sample consumption.
Abhik Manna1,2, Diandra Doppler1,2, Manasa P Sripati2
1School of Molecular Sciences, Arizona State University, Tempe, AZ, USA.
Serial crystallography (SX) advances structural biology by determining protein structures. This review examines sample delivery methods to minimize precious sample consumption, enabling broader biological studies.
Area of Science:
- Structural Biology
- Biophysics
- Biochemistry
Background:
- Serial crystallography (SX) is a powerful technique for high-resolution protein structure determination.
- Limited availability of macromolecule samples presents a significant challenge in SX.
- Efficient sample utilization is crucial for maximizing the potential of advanced X-ray sources like synchrotrons and X-ray free-electron lasers (XFELs).
Purpose of the Study:
- To review and assess current sample delivery systems in serial crystallography.
- To highlight advancements in reducing sample consumption for protein studies.
- To compare different methods based on minimum sample requirements.
Main Methods:
- Focus on three primary sample delivery systems: fixed-targets, liquid injection, and hybrid methods.
- Summarize progress and challenges associated with each method regarding sample consumption.
- Compare reported sample delivery methods against the theoretical minimum sample required for data collection.
Main Results:
- Analysis of fixed-target, liquid injection, and hybrid sample delivery systems for SX.
- Identification of advancements in minimizing sample usage.
- Comparison of current methods' efficiency in sample consumption.
Conclusions:
- Reducing sample consumption in SX is critical for studying a wider range of biological samples.
- Current sample delivery methods show progress but still have room for improvement towards theoretical minimums.
- A comprehensive assessment of sample delivery methods is provided to guide future research in SX.
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