IEAM Workshop: Sample Quality Optimisation for Cryo-EM
Instruct-ERIC and ARBRE-MOBIEU Workshop: Analysis and Optimization of Sample Quality for Cryo-electron Microscopy and Other Structural Techniques 2020
Important Dates
About IEAM Workshop: Sample Quality Optimisation for Cryo-EM
Come to the Instruct-ERIC and ARBRE-MOBIEU Workshop: Analysis and Optimization of Sample Quality for Cryo-electron Microscopy and Other Structural Techniques! We invite all the structural biologists who want to improve their skills in sample analysis and optimization for structural techniques, in particular, Cryo-EM. Training will be focused on the importance to provide basic protein quality control as well as buffer and storage optimization via using quick and relatively cheap techniques to save precious Cryo-EM time. Lectures are focused on theory and examples of usage of particular methods.
Topics
Electron microscopy, Molecular biology, Proteins, Structural biology, ConferenceCall for Papers
Additionally, voluntary presentation of own posters, debate with invited speakers and tutors and tour to the company manufacturing microscopes will be included. Practical part covers sample characterization techniques (dynamic light scattering, differential scanning fluorimetry, circular dichroism and differential scanning calorimetry), basics of Cryo-EM sample preparation and data collection. Trainees are allowed to bring their own sample for basic analysis. At the end of the course, trainees should understand the relationship between sample quality and structural technique output as well as be able to apply the know-how gained in their sample preparation workflow.
The whole course will be open to a maximum of 24 selected participants. PhD students, post-docs and early career researchers are preferred.
The plenary lectures on 11th Feb will be open to general audience after registration.
Selection will be done on the basis of the candidate´s CV and motivation letter. The scientific committee will give priority to candidates who come from institution without expertise in this type of methodologies and technologies. The participants should show that the outcome of the course will be used rapidly in their projects and activities. Multiple participants from single research group or institution are disfavored.
Application deadline is November 29th 2019.
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