Image Analysis Breakfasts

NEXT MEETING: May 2nd, 2022 @ 9AM, room BM 4.233


Need help with your images? Stuck with a difficult image-analysis problem and want some advice? Come with your data to the next Image Analysis Breakfast. Twice per month, a team of voluntary experts strives to give you pragmatic and actionable advice that allow you to quickly move ahead with your imaging-based research.

Tricky images? Seek advice.

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

To provide EPFL’s imaging community with additional support in image analysis, the EPFL Center for Imaging is running a series of bi-monthly Image Analysis Breakfasts. These data-centered meetings provide participants with a precious chance to discuss all kinds of image-analysis questions with a team of volunteer EPFL imaging experts.

The philosophy of the Image Analysis Breakfasts is not to solve imaging problems “on the spot”, although this has happened in the past! Rather, the goal is to provide participants with useful advice on the best ways to tackle their imaging problem, and on the amount of effort and resources required for doing so.

How does it work?

During the 1-hour session, two participants present their images and their analysis problems in front of a panel of local imaging experts.

Each participant is asked to present his/her image-analysis question in about 10 minutes. Then, the experts discuss the problem with the participant for 20 minutes, trying to provide tips, ideas, pointers to relevant references and/or links to similar solved problems.

The suggested resources and actions are collected in a GoogleDoc made accessible to the participant at the end of the meeting. 

Our wonderful team of image-analysis experts

A big shootout to all our enthusiastic imaging experts!  This team of volunteer EPFL researchers come from diverse imaging backgrounds and have various image-processing/analysis expertise. We aim to cover most imaging modalities (from nano to macro) and software tools. 

From the EPFL Center for Imaging: Daniel Sage, Olivia Mariani.  

From the BIOP Platform: Olivier Burri, Romain Guiet, Nicolas Chiaruttini, Arne Seitz. 

From various EPFL imaging labs: Arianne Bercowsky (SV), Pol Del Aguila Pla (STI), Sepand Kashani (IC), Matthieu Simeoni (IC), Jean-Philippe Thiran (STI), Martin Weigert (SV). 

Please write us if you would like to join us!


No. The Image Analysis Breakfasts are currently open only to EPFL research staff (PhD Students, postdocs, scientific collaborators). EPFL Master students can attend under the supervision of their assistant, provided that free spots are available. 

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

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 you towards possible solutions. 

Examples of Past Topics (2020 & 2021)

  • Deep learning methods for retinal cells images classification depending on disease – Timothée Laforest [STI]
  • Detection of crack in walls – Amir Rezaie [EESD, ENAC]
  • Bacteria classification – Kunal Sharma [McKinney Lab, SV]
  • Detection of the cracks in a 3D volume of X-ray tomography – Eleni Stavropoulou [ENAC]
  • Surface roughness from microCT David Delavaux, Guillaume Anciaux, Pascal Turberg [Pixe, ENAC]
  • Detection of cracks in a sequence of imagesAmir Rezaie [EESD, ENAC]
  • Cells movement – Quentin Talon [LPMV, SB] 
  • Analysis of hand written gestures – Thibault Asselborn [CHILI, IC]
  • Semi-automatic tools for cracks detection – Amir Rezaie [ENAC]
  • Image processing of calcium imaging – Zhang Chuanqiang [SV]
  • Spherical Harmonics – Mahmoud Shaqfa [ENAC]
  • 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]
  • Lineage of E.coli bacteria – Frédéric Normandeau [McKinney Lab, SV]
  • TEM image analysis of porous film – Michał Macha [LBEN, STI]
  • Computer-aided segmentation and re-association of fragmented human bones – Varlet Vincent, Lise Malfroy Camine, Negahnaz Moghaddam, Lorenzo Campana [Swiss Human Institute of Forensic Taphonomy (SHIFT) and Centre Universitaire Romand de Médecine Légale (CURML)] 
  • Microbead agglutination assay inside a microcapillary channel – Bastien Schyrr [FIMAP, IMX]
  • Build the lineage of e-coli bacteria – Frédéric Normandeau [McKinney Lab, SV]
  • Distribution of cells (Mathematica pipeline) – Eva Kurisinkal [PBL, MX, STI]  
  • Fragments of human bones – Lise Malfroy [CHUV, UNIGE] 
  • Atomic islands segmentation – Karla Banjac [LSEN, SB]
  • Semantic 3D segmentation of low-contrast, artefact-corrupted, TEM tomographic reconstructions – Robin Girod [INE, MX, STI]
  • Quantify the vascularization of a drosophila tissue (coverage, branching…) – Samuel Rommelaere [Lemaitre Lab, SV]
  • Tracking with fusion of trajectories (Trackmate) – Noémie Chabot [CIG, Unil]



[email protected]

[email protected]

021 693 51 89

BM 4.135

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