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

Contact persons
Preliminary Program
Hardware, Infrastructure, workflows
Dean Flanders (Head of IT, FMI): Coping with Large Life Science Data Sets from Acquisition to Archive
Enrico Tagliavini (IT, FMI): t.b.d.
Henry Luetcke (ID SYS, ETHZ): Distributed workflows for scalable analysis of large imaging datasets.
Urs Ziegler (University of Zurich): VM infrastructure for image processing at the University of Zurich
Katrin Volkmann (FAIM, FMI): High-Contect Screening Workflows at the FMI

Image processing and Data visualization
Raphaël Thierry (FAIM, FMI): Neural networks and Machine Learning for Image Classification
Thorsten Falk (IT, Uni Freiburg im Breisgau): Fully convolutional neural networks for 5-D microscopic image analysis
Urs Mayer (Group Liberali, FMI): TissueMap, an image-processing platform for high-performance computing infrastructures
Andrzej Rzepiela (ETH, Zurich): Phaedra - handling, analyzing, and visualizing HCS data
Christian Tischer (AMLF, EMBL): Plugins to analyze and process big datasets in ImageJ
Stephan Gerhard (Group Friedrich, FMI):, an image processing and analytics platform for large-scale EM connectomics
Michael Stadler (Head of Bioinformatics, FMI): Identification of cell types from single cell transriptomics data
Andreas Schenk (FAIM/Group Thomä, FMI): Big data analysis in Structural EM

Company talks: Commercial software solutions for 3D visualization and analysis of big datasets
Daniel Reisen (Bitplane)
speaker (Arivis)
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