Skip to content
EU-LIFE symposium on Big Microscopy Data Management
General Information
Date and location
Date: 17 November 2017
Time: 9am-6pm
Location:
Friedrich Miecher Institute, room 5.30
The symposium is free of charge
Organisers
Christel Genoud and Laurent Gelman
Contact person
christel.genoud@fmi.ch
Preliminary Program
09:00 09:15 Welcome
09:15 09:35
Dean Flanders
(Head of IT, FMI): Coping with Large Life Science Data Sets from Acquisition to Archive
09:35 09:55
Urs Ziegler
(University of Zurich): VM infrastructure for image processing at the University of Zurich
09:55 10:15
Enrico Tagliavini
(IT, FMI): High performance storage fundamentals
10:15 10:30 Coffee break
10:30 10:50
Henry Luetcke
(ID SYS, ETHZ): Distributed workflows for scalable analysis of large imaging datasets.
10:50 11:10
Katrin Volkmann
(FAIM, FMI): High-Contect Screening Workflows at FAIM
11:10 11:30
Urs Mayr
(Group Liberali, FMI): TissueMap, an image-processing platform for high-performance computing infrastructures
11:30 13:00 Lunch
13:00 13:20
Andrzej Rzepiela
(ETH, Zurich): Phaedra - handling, analyzing, and visualizing HCS data
13:20 13:40
Stephan Gerhard
(Group Friedrich, FMI): BrainCircuits.io, an image processing and analytics platform for large-scale EM connectomics
13:40 14:00
Michael Stadler
(Head of Bioinformatics, FMI): Identification of cell types from single cell transriptomics data
14:00 14:15 Coffee break
14:15 14:35
Christian Tischer
(AMLF, EMBL): Towards a standardized light-sheet data workflow
14:35 14:55
Thorsten Falk
(IT, Uni Freiburg im Breisgau): Fully convolutional neural networks for 5-D microscopic image analysis
14:55 15:15
Raphaël Thierry
(FAIM, FMI): Neural networks and Machine Learning for Image Classification
15:15 15:30 Coffee break
15:30 15:50
Andreas Schenk
(FAIM/Group Thomä, FMI): Big data analysis in Structural EM
15:50 16:10
Fabian Svara and Jörgen Kornfeld
(ariadne-service): Combining human and artificial intelligence for high-throughput image annotation
16:10 16:30
Dieter Goehlmann
(Bitplane): Imaris 9 – New Billion Triangle Surface Model. Analysis of huge datasets using multi resolution surface segmentation
16:30 16:50
Sebastian Konrad
(Arivis): Interactive Visualization and Analysis of Large Image Data via Desktop, Web and Virtual Reality
16:50 17:00 Closing remarks
17:00 - Apero in Basel (optional)