Effectively analysing these vast datasets requires coordinated, cross-disciplinary effort and robust, scalable tools

vEM encompasses powerful TEM and SEM-based techniques that enable nanometre-resolution imaging through cellular and tissue volumes, capable of routinely producing terabyte-scale datasets

The aim of the meeting is to bring together researchers, microscopists, biologists, computer scientists, image analysts, and software engineers to shape the future of computational support for volume electron microscopy (vEM)

🚨 SAVE THE DATE 🚨
Inaugural CCP-volumeEM Community Meeting, 3rd November 2025 at @crick.ac.uk in London
"Towards a collaborative computational community for volume EM"
Timings: 12pm - 5.30pm, followed by networking reception

#volumeEM #BioImageAnalysis #VEM #CCPvolumeEM #CoSeC

We now have a mailing list for anyone who'd like to get involved with the volume EM collaborative computational community!
Sign up at bit.ly/ccp-volume-em to hear all the latest news and opportunities

If you work in #VolumeEM, please fill in our survey to help us build a Collaborative Computational Project for volumeEM!

Survey link: forms.office.com/e/eMAJGCKUnc

we're aiming to identify the needs of the community in order to build a roadmap for all-things data-related in #vEM