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Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology
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Published on: January 24, 2018

An automated image-collection system for crystallization experiments using SBS standard microplates.

Erik Brostromer1, Jie Nan, Xiao Dong Su

  • 1National Laboratory of Protein Engineering and Plant Genetic Engineering, Peking University, Beijing 100871, People's Republic of China.

Acta Crystallographica. Section D, Biological Crystallography
|January 24, 2007
PubMed
Summary

A low-cost automated imaging system for microplate experiments was developed for structural genomics. This system enables rapid scanning and web-based tracking of crystallization, serving as a DIY guide for laboratory robotics.

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Use of a Robot for High-throughput Crystallization of Membrane Proteins in Lipidic Mesophases

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Area of Science:

  • Structural genomics
  • Biophysics
  • Laboratory automation

Background:

  • Structural genomics platforms require efficient methods for analyzing biological samples.
  • Automated imaging systems are crucial for high-throughput screening in structural biology.
  • Existing systems can be costly and complex, limiting accessibility for some laboratories.

Purpose of the Study:

  • To design and construct a low-cost, in-house automated imaging system for microplate experiments.
  • To develop a web-based database for monitoring crystallization experiments remotely.
  • To provide a do-it-yourself guide for implementing laboratory robotics using commercially available parts.

Main Methods:

  • Development of an automated imaging system using commercially available components.
  • Integration of the imaging system with a web-based crystallization database.
  • Testing the system's performance with standard 96-well microplates.

Main Results:

  • Successful design and construction of a functional automated imaging system.
  • Achieved microplate scanning times of 2-6 minutes for a 96-well plate.
  • Implemented a user-friendly web interface for experiment tracking.

Conclusions:

  • The developed system offers a cost-effective solution for automated microplate imaging in structural genomics.
  • The system enhances experimental workflow by enabling rapid data acquisition and remote monitoring.
  • This work serves as a practical example for laboratories seeking to implement custom robotic solutions.