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An Open-Source Storage Solution for Cryo-Electron Microscopy Samples.

Eveline UlteeFred SchenkelWen YangSusanne BrenzingerJamie S DepelteauAriane Briegel
Published in: Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada (2018)
Cryo-electron microscopy (cryo-EM) enables the study of biological structures in situ in great detail and to solve protein structures at Ångstrom level resolution. Due to recent advances in instrumentation and data processing, the field of cryo-EM is a rapidly growing. Access to facilities and national centers that house the state-of-the-art microscopes is limited due to the ever-rising demand, resulting in long wait times between sample preparation and data acquisition. To improve sample storage, we have developed a cryo-storage system with an efficient, high storage capacity that enables sample storage in a highly organized manner. This system is simple to use, cost-effective and easily adaptable for any type of grid storage box and dewar and any size cryo-EM laboratory.
Keyphrases
  • electron microscopy
  • high resolution
  • electronic health record
  • big data
  • binding protein
  • machine learning
  • mass spectrometry
  • deep learning
  • single molecule
  • molecularly imprinted