Image Analysis Breakfasts

Next meeting: Monday 19 October, 9:00 – 11:00

Registration

Need help with your images? Stuck with an “unsolvable” image-analysis problem? Come with your data to the next Image Analysis Breakfast. A team of voluntary experts will be monthly there to give you some advice.

Tricky images? Seek advice.

Imaging technology is progressing rapidly; in particular, it is becoming increasingly challenging for non-experts to stay up-to-date with the latest developments in image analysis.

To provide EPFL research staff with support in image analysis, the [email protected] initiative is launching a series of “Image Analysis Breakfasts”. These meetings are a place where researchers can share image-analysis problems, get feedback from experts, and exchange ideas, all this around coffees and croissants

The “Image Analysis Breakfasts” are data-centered meetings that give EPFL research community a precious chance to discuss all kinds of imaging questions.

Participants shortly present their image-analysis problems in front of image-analysis experts, who try to provide advices, tips, pointers to relevant references, or links to similar solved problems. The goal is not to solve the participants’ problems “on the spot”, but to give them a (hopefully) useful feedback on the best way to tackle their problem, and the amount of effort required to do so.

How it works?

During the 2-hours session, participants present their images and analysis problems in front of experts. Please come with your personal laptop and software if you are using non-generic image formats. During the discussions, we collect thoughts, ideas, references, or links in a Google Docs accessible by the participant. The Google Docs stays open up to the next breakfast. 

Team of experts

Arianne Bercowsky, Olivier Burri, Nicolas Chiaruttini, Pol Del Aguila Pla, Laurène Donati, Alessandra Griffa, Romain Gueit, Sepand Kashani, Mateusz Kozinski, Daniel Sage, Arne Seitz, Matthieu Simeoni, Jean-Philippe Thiran, Martin Weigert, Jaejun Yoo

Please write us if you would like to join us!

How to participate?

Prepare a concise presentation describing your  problem, please exclude domain-specific jargon.

Select typical examples to explain what information you are aiming to obtain from your data. Make sure to have enough variability.

Shared link  to your slides and to your data  (typically on EPFL Google Drive). 

Meetings 2020

Meeting 17 February 2020

  • Deep learning methods for retinal cells images classification depending on disease – Timothée Laforest [STI]
  • Detection of crack in walls – Amir Rezaie [ENAC]
  • Bacteria classification – Kunal Sharma [SV]
  • Detection of the cracks in a 3D volume of X-ray tomography – Eleni Stavropoulou [ENAC]

Meeting 16 March 2020

  • Cancelled due to the Coronavirus

Meeting 20 April 2020

  • Surface roughness from microCT David Delavaux, Guillaume Anciaux, Pascal Turberg [Pixe, ENAC]
  • Detection of cracks in a sequence of imagesAmir Rezaie [EESD, ENAC, Prof. Beyer]
  • Cells movement – Quentin Talon (LPMV, Giovanni Dietler)
  • Analysis of hand written gestures – Thibault Asselborn [CHILI, IC, Prof. Dillenbourg]

Meeting 18 May 2020

  • Semi-automatic tools for cracks detection – Amir Rezaie [ENAC]
  • Image processing of calcium imaging – Zhang Chuanqiang [SV]
  • Spherical Harmonics – Mahmoud Shaqfa [ENAC]

Meeting 15 June 2020

  • Structural noise in 2-photons microscopy images – Carlos Vivar Rios and David Litvin [CHUV]
  • Detection of spatio-temporal event and constriction site – Dora Mahecic [LEB, SB]
  • Similarity measurement of skeletonized cracks – Amir Rezaie [EESD, ENAC, Prof. Beyer]

Monday 14 September 2020

  • Lineage of E.coli bacteria – Frédéric Normandeau, McKinney Lab [SV]
  • TEM image analysis of porous film – Michał Macha, A. Radenovic Lab [LBEN, STI]

Monday 19 October 2020

Monday 16 November 2020


Frequently Asked Questions (FAQ)

I don’t know if my problem is even solvable. Shall I come?

Yes, that is exactly the purpose of the breakfasts discussions: To determine the kind of effort you need to invest to solve your image analysis problem, and to point to possible solutions. 

Who is it open to?

EPFL collaborators and research staff (PhD Students, postdocs, etc.). Master students can join under the supervision of their assistant.

My question seems too basic. Can I still come?

Yes, there is absolutely no such a thing as a stupid question/problem in image-analysis. Everybody is there to learn.

Who are these image analysis experts?

We have assembled a enthusiastic team of volunteers EPFL researchers that come from diverse imaging backgrounds and with various image-processing/analysis expertise. We aim to cover most imaging modalities (from nano to macro) and software tools. 

Contact

Questions?

[email protected]

[email protected]


021 693 51 89


BM 4.135