Mummering workshop on the analysis of large 3D/4D datasets

8 Sept 2020, 14:00 → 11 Sept 2020, 14:30 Europe/Stockholm

Compute room 062 (Building 310, DTU compute, Lyngby campus)

Rajmund Mokso (Max IV)

Introdcution to fundamentals of image analysis and hands-on sessions with experts. Directed to PhD students and scientists who own large 3D and 4D datasets and wants to learn how to analyse them.

 

PARTICIPATION IN PERSON IS PREFERRED, HOWEVER THE EVENT WILL ALSO BE STREAMED VIA MICROSOFT TEAMS.

Tuesday 8 September

14:00 welcome coffee

Introduction: Scientific motivation (R. Mokso)

Introduction: Basic concepts of image analysis: from 2D to 3D - DAHL

16:00 fruit break

Introduction: Data handling / sharing - Rasmus

Tutorial / hands-on: Workflows: David

18:00 mingle

Wednesday 9 September

08:30 morning coffee

technical lecture: Big data quantification - K. MADER

Tutorial / hands-on: Big data quantification - K. MADER

10:30 coffee break

technical lecture: Visualisation tools - V. Dahl

12:00 lunch

Tutorial / hands-on: Virtual reality tools - T. GRANDSAERT

science keynote: Granular materials in action (Stephen Hall, Lund)

14:30 coffee break

Facility tour: virtual tour of DTU imaging centre and MAX IV

Thursday 10 September

08:30 wake up coffee

technical lecture: Overview of machine learning approaches (David Rousseau, Angers)

09:55 small break

Tutorial / hands-on: how to run your own ML jupyter notebook (David Rousseau, Angers)

group work: introduction

11:30 lunch

group work: sharing image analysis algorithms and know-how

meeting: IPR

closing: Closing

group work: continuation

meeting: Supervisory board meeting

group work: Results from work groups

Friday 11 September

meeting: GA