PoL Bio-Image Analysis Symposium

The PoL BioImage Analysis Symposium 2023 in Dresden brings together communities of bio-image analysts, microscopists, biologists, biophysicists and scientists who want to further quantitative methods for studying biological systems using microscopes and computational analytical methods. We are looking forward to welcoming you in Dresden!

August 28, 2023 - September 1, 2023

Center for Regenerative Therapies Dresden (CRTD)

Medizinisch-Theoretisches Zentrum (MTZ)

Important Dates

  • Payment Start: 9.8.
  • Payment Deadline: 18.08.

Training schools: August 28th - August 30th (for selected attendees)

Symposium: August 30th - September 1st (for registered attendees)


Virtual Symposium 25 €

To select this option, you can enter the token Bias-Virtual in the log-in field at the bottom of this page.

Application already closed:

  • Student training School + Symposium 300€
  • Student Symposium 200€
  • Academic training School + Symposium 400€
  • Academic Symposium 300€
  • Industry training School + Symposium 550€
  • Industry Symposium 450€


  • Robert Haase, BiA-PoL, TU Dresden
  • Silke Tulok & Thomas Müller-Reichert, Faculty of Medicine - CFCI, TU Dresden
  • Martin Jones & Jon Smith, The Francis Crick Institute, London, UK
  • Stéphane Rigaud, IAH Institut Pasteur, Paris, France
  • Adele Doyle, Physics of Life, TU Dresden
  • Conni Wetzker, CMCB, TU Dresden


Philipp Naumann



Chan Zuckerberg Initiative

This project has been made possible in part by grant number 2021-237734 from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.

Deutsche Forschungsgemeinschaft

We acknowledge support by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy – EXC2068 - Cluster of Excellence Physics of Life of TU Dresden.

Venue - CRTD

Center for Regenerative Therapies Dresden (CRTD)

Fetscherstraße 105, Dresden
01307 Dresden

Venue - MTZ

MTZ Medizinisch-Theoretisches Zentrum

Fiedlerstraße 42, Dresden
01307 Dresden

Log In