Program

Arrival and departure

  • Arrival, Sunday Nov. the 19th: a shuttle will run from the Ajaccio airport to the conference center. Estimated departure time: 5pm-6pm, depending on the flights of participants. Therefore, make sure to reach the Ajaccio before 5pm.
  • Departure, Friday Nov. the 24th: a shuttle will bring back participants to the Ajaccio airport. Departure from the conference center circa 3pm. Therefore, take a flight after 5pm.

General program

  • Morning 8h30-10h  [break] 10:30 – 12:00 : Classroom lectures
  • Afternoon : Practical work.
    • Mo, We, Fr:  14:00 – 15:30 [ break] 16:00 – 17:30
    • Tu, Th:  15:30-17:00 [break] 17:30-19:00
  • Monday 17:45 – 19:00:  Flash presentations by the participants

Program per day

Monday : The image alignment problem

Monday-bis : ≤ 5 min participants introduction

Tuesday : From raw data to context

Wednesday : Combining molecular dynamics and cryo-EM

Thursday : Flexibility in cryo-EM reconstruction

Friday : Hybrid methods for analyzing conformational variability in cryo-EM and cryo-ET data

… departure: Friday session ends early to allow bus to Ajaccio airport

Detailed program

Monday : The image alignment problem

Carlos Oscar Sozano – National Center of Biotechnology, Madrid, Spain

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  • Context
  • Goal functions
  • Optimization strategies
  • Deep learning and classical image processing

Monday, after the practical :

Participants Session. Short presentations (≤5 min) to tell about your research interests. Please have a couple of slides (pdf format) ready to project.

Tuesday : From raw data to context

Christian Dienemann – MPI Gottingen, Germany

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  • Preprocessing of cryo-EM images: methods for movie alignment, dose weighting and CTF-estimation
  • Tomogram reconstruction: various reconstruction methods (SIRT, BP, IsoNet, etc.)
  • Identification of image features: particle picking (2D and 3D) and segmentation
  • Exploiting 3D context in tomograms: orientation priors, multi-species alignment

Wednesday: Combining molecular dynamics and cryo-EM

Pilar Cossio – Flatiron Institute, New-York, USA

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  • Basis of molecular dynamics
  • Bayesian analysis
  • Monte Carlo
  • Ensemble reweighting using cryoEM

Thursday: Flexibility in cryo-EM reconstruction

Johannes Schwab – Cambridge Univ, England

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  • Mathematical formulation of 3D reconstruction in single particle cryo EM
  • 3D reconstruction algorithms for homogeneous data
  • Reconstruction methods for conformational heterogeneous data
  • Estimating deformations for improved 3D reconstruction

Friday: Hybrid methods for analyzing conformational variability in cryo-EM and cryo-Et data

Slavica Jonic – CNRS, France

download slides and preprint
  • Cryo-EM vs. Cryo-ET: Principles, Advantages, Limitations
  • Conformational changes of biomolecular complexes: Discrete vs. Continuous (Terminology, Examples)
  • Conformational heterogeneity in cryo-EM and cryo-ET data: Obstacle and Opportunity
  • Conformational landscapes and Free-Energy landscapes: Terminology, Examples
  • Methods for analyzing conformational variability in cryo-EM and cryo-ET: Principles, Brief overview
  • Combining dynamics simulation, image processing, and deep learning for analyzing conformational variability

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