[3dem] volumeEM Technology Forum, Beijing, China, 11-15 Oct - Early Bird Registration closing soon!

[Darrow, Michele (RFI,RAL,-)]

Hi All,

Early Bird registration for the 2026 vEM Technology Forum will end on July 15th: https://urldefense.com/v3/__https://indico.pku.edu.cn/event/53/__;!!Mih3wA!HScIMmnaIRLeAMeIxBHjhA-mCfCO3n-vhC2MlNfWgBr8-3qZ-aeGXPUg8TmQTlFtca1UFQFl8K1aqVzSt90I1_hx6i2V0w$ 

The Forum will be hosted by Peking University in Beijing, China from October 11-15, 2026. The agenda includes a full-day visit to the modern Huorou National Imaging Center, tours of the Great Wall and the campuses of Peking University and Tsing Hua University, as well as an opportunity to enjoy Beijing’s famous Peking Duck at Quanjuede, established in 1864. In addition, you may wish to attend the Chinese Electron Microscopy Annual Meeting in Nanjing from Oct. 16-19, 2026, please let me know if you would be interested.

The Forum will bring together the global vEM community to explore advances in life and materials sciences and to showcase the latest innovations in microscope platforms, specimen preparation, correlative imaging, automation, and AI-driven software development. The program will feature technical talks, posters, panels, challenge sessions, and live demonstrations of cutting-edge hardware and software tools. The annual vEM Town Hall will also take place during this meeting, with both in-person and remote access available for this session.

The confirmed plenary speaker is Thomas Deerinck of the National Center for Microscopy and imaging Research, University of California San Diego, USA. Keynote speakers include Yoshi Kubota (National Institute for Physiological Sciences, Japan); Michele Darrow (Rosalind Franklin Institute, UK); Ji Wei (Institute of Biophysics, Chinese Academy of Sciences, China); and Hua Yunfeng (Shanghai University School of Medicine, China).

Session topics will include:

  *   Correlative and Allied Imaging Techniques
  *   Downstream Uses of Volumetric Data
  *   Molecular Targeting and Probes
  *   Automation Across the vEM Workflow
  *   Sample Preparation Improvements
  *   Future Technologies - what’s on the horizon?
  *   vEM in Pathology and Translation
  *   Large Volume, Large Scale, Big Data, Artificial Intelligence
  *   Integration of Multi-modal, Multi-scale Volumetric Data
  *   Applications of vEM


Challenge panel sessions will cover the following topics:

  *   vEM Pain Points
  *   What is vEM?
  *   Big Data, Big Problems


A number of travel bursaries will be available for early career researchers and attendees with longer journeys. These can be requested during the registration process. Help with visa letters is also available, though can take some time, so please register soon if you need one. If you have any questions, please email us.

Please note that space is limited, and we encourage you to register before July 15 to receive early bird rate. Paper awards, poster awards and image competation awards will be presented during the meeting.

Last, but not least, we are extraordinarily grateful to those whose contributions have made this event possible: Bio-eBeam, Zeiss, JEOL, Leica, ThermoFisher, Yidong Tek, Delmic, Oxford, CIQTEK,  EMCN/SPT Labtech, Linkam, Connectomix, Hitachi, Comet/Dragonfly, SiriusXT, Scalable Minds, Microscopy Innovations.

We hope to see you in Beijing this October for this truly global vEM event!

Best,
Alice Liang
on behalf of the Local Organising Committee, Scientific Organising Committee and Vendor Organising Committee

Local Organising Committee:
Qiang Guo, Peking University, Beijing, China
Kun Song, Peking University, Beijing, China
Guopeng Wang, Peking University, Beijing, China
Yiqun Liu, Peking University, Beijing, China

Scientific Organising Committee:
Michele Darrow, Rosalind Franklin Institute, UK
Kirk Czymmek, Donald Danforth Plant Science Center, USA
Alice Liang, NYU Grossman School of Medicine, USA
Zach Freyberg, University of Pittsburgh, US
Isabelle Guerin-Bonne, National University of Singapore, Singapore
Qiang Guo, Peking University, China
Yunfeng Hua, Shanghai Institute of Precision Medicine, China
Byung-Ho Kang, Chinese University of Hong Kong, Hong Kong
Chieko Saito, RIKEN Center for Brain Science, Japan
Kun Song, Peking University, China
Paul Verkade, University of Bristol, UK


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