Technical help sheet

Technical requirements for data analysis

The practicals in this course were run on virtual machines with Linux Ubuntu 22.04 Operating Systems, 16 GB of RAM, 8 vCPUs, and 200GB of storage capacity.

These were the tools used for executing the practicals in this course:

Image Data resources and Distributed/Cloud computing

SOFTWAREURL for software / Software version
Gitgithub.com
Web Browser (preferably chrome) (example)https://www.google.com/chrome
Mambahttps://mamba.readthedocs.io/en/latest/installation/mamba-installation.html
QuPath (with the OMERO extension)https://omero-guides.readthedocs.io/en/latest/qupath/docs/installation.html
Fijihttps://imagej.net/software/fiji/downloads
OMERO plugin for Fijihttps://omero-guides.readthedocs.io/en/latest/fiji/docs/installation.html

ilaskik

ilastikhttps://www.ilastik.org/download.html#beta Version: 1.4.1b15-gpu (most likely will be updated, what would be the deadline?)
webbrowser, preferrably chromehttps://www.google.com/chrome/
nvidia driver (ilastik ships its own cuda)
Fijihttps://imagej.net/software/fiji/downloads
ilastik Fiji pluginhttps://github.com/ilastik/ilastik4ij?tab=readme-ov-file#installation
MoBiE Fiji Pluginhttps://github.com/mobie/mobie-viewer-fiji?tab=readme-ov-file#install

pyThorch introduction and Advanced topics (Terminal, Snakemake, pyTorch)

conda/mamba
Git
pytorch
cudatoolkit
pytorch-lightning
snakemake
https://pypi.org/project/torchvision/

CellProfiller

Ideally Ubuntu 20.04 is required, as the build version has been already tested for this. Once Python 3.8 or 3.9 are installed, it should just be pip install cellprofiler, but it needs one of those python versions, for which we don’t have Ubuntu 22.04 instructions.

CellProfiler 4.2.6https://github.com/CellProfiler/CellProfiler/wiki/Ubuntu-20.04
Workshop materialshttps://tutorials.cellprofiler.org/#beginner-segmentation

BioImage Model Zoo

Docker (with enough permissions as to download and build new docker images)https://www.docker.com/products/docker-desktop/
Docker Desktop
DL4MicEverywherehttps://github.com/HenriquesLab/DL4MicEverywhere
Google Chrome