We are staunch supporters of mutual knowledge exchange and aim to bring people together who share common interests. Below you will find a non-exhaustive list of communities and forums in and beyond Dresden that are always happy to welcome new members. These forums serve as platforms to share developments and facilitate collaboration and networking between scientists and technologists.
We also believe in open-source principles and are happy to share our knowledge with the community. If you are interested in some resources to foster your self-studies, please have a look at the links below.
Communities & Forums
Dresden Machine Learning Community
Great opportunity to connect with other ML users and experts in and around Dresden to share news, events and technical expertise. Initiated and actively supported by Peter Steinbach and his AI Consulting Team at the HZDR (join the mailing list).
Dresden Single Cell Community
Platform for researchers from the Dresden Biopolis campus and beyond to foster knowledge exchange in the broad field of single cell RNAseq data analysis (join the mailing list).
Biopolis Dresden Imaging Platform (BioDIP)
Multi-institutional network of core imaging facilities offering the opportunity to exchange knowledge and resources on imaging and image analysis (join the mailing list by sending a request to the BioDIP chair Hella Hartmann).
Max-Plank BioImaging Core Unit Network (MaxBI)
Initiative from the Max-Planck-Gesellschaft to foster training and networking of core facilities and users on imaging and image analysis (see here how to join the network).
image.sc forum
Supported by a big community of ImageJ enthusiasts who help people to improve image processing knowledge and best practices.
How-To Guides & Course Materials
Open-Source Image Analysis Course Materials: Entire collection of the courses on bio-image analysis offered by us. Please take note of the license if you plan to reuse our material.
Open-Source HOW-TO Guides: Practical guides on image analysis with step-by-step instructions.
ImageJ Wiki: Collection of ImageJ, ImageJ2, Fiji wikis with all the tutorials and in-depth concepts behind those applications.