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Related Concept Videos

Crystal Growth: Principles of Crystallization01:25

Crystal Growth: Principles of Crystallization

5.7K
Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
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Recrystallization: Solid–Solution Equilibria01:10

Recrystallization: Solid–Solution Equilibria

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Recrystallization is a purification technique used to separate impurities from solid compounds. In this technique, no chemical reactions occur. Instead, it exploits physical properties only, specifically, the solubility differences between the desired compound and impurities, either at a single temperature or at different temperatures, and under other selected conditions. The solid-solution equilibrium (solubility equilibrium) of each component in the solution represents a binary phase...
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Updated: Apr 28, 2026

Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology
11:20

Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology

Published on: January 24, 2018

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Automation in biological crystallization.

Patrick Shaw Stewart1, Jochen Mueller-Dieckmann2

  • 1Douglas Instruments Ltd, Douglas House, East Garston, Hungerford, Berkshire RG17 7HD, England.

Acta Crystallographica. Section F, Structural Biology Communications
|June 11, 2014
PubMed
Summary
This summary is machine-generated.

Automating crystallization experiments accelerates protein and RNA structure determination. While high-throughput methods increase trial numbers, careful data management and sample quality remain crucial for success.

Keywords:
automationcrystallization

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Area of Science:

  • Structural biology
  • Biochemistry
  • Biophysics

Background:

  • Crystallization is a critical bottleneck in determining protein and RNA structures via crystallography.
  • Automation addresses this bottleneck by streamlining experimental steps from cocktail preparation to imaging.

Purpose of the Study:

  • To review the current state of automation in crystallization experiments.
  • To highlight the importance of automation in high-throughput crystallization.
  • To emphasize the need for sophisticated data management systems.

Main Methods:

  • Review of automated crystallization platforms and techniques.
  • Analysis of high-throughput crystallization facilities and their capabilities.
  • Discussion of laboratory information management systems (LIMS) for data handling.

Main Results:

  • Automation has significantly increased the number of crystallization trials performed daily.
  • High-throughput crystallization improves success rates and convenience.
  • Automation necessitates advanced data management for evaluating numerous experiments.

Conclusions:

  • Automation is essential for efficient protein and RNA structure determination.
  • While automation accelerates screening, maintaining sample quality is paramount.
  • Effective data and laboratory information management are critical for leveraging high-throughput crystallization.