Ten-fold Robust Expansion Microscopy (TREx) is a super-resolution imaging technique that enables nanoscale
visualization of proteins using conventional fluorescence microscopes. By physically expanding biological
samples, TREx increases the spatial separation between fluorophores by approximately tenfold, allowing
researchers to resolve fine cellular structures beyond the diffraction limit. This hands-on workshop provides
comprehensive training in applying TREx to cultured human cell lines. Participants will gain practical experience
in the complete experimental workflow, including:

• Sample preparation and fixation

• Immunofluorescence staining of proteins of interest

• Sample expansion using the TREx protocol

• High-resolution imaging of expanded samples using the Zeiss Airyscan microscope

• Best practices for data acquisition and troubleshooting​

 

Target audience

• PhD students and early-career postdoctoral researchers whose group leader is a member of the Center for Synthetic Genomics (SynGen).

 

Prerequisites

• Previous experience working in an S1 laboratory is mandatory.

• Familiarity with basic cell culture and cytological techniques is required.

 

Course Venue

KIT - Molecular Cell Biology of Animals, Fritz-Haber-Weg 4, 76131 Karlsruhe, Germany

 

Course Format

The workshop will be held in person at KIT. Course hours are 09:30-16:30 (1 long day till 19:00)

 

Additional Notes

Due to the hands-on nature of the training, attendance in person is mandatory.

For participants traveling from Mainz, accommodation during the course may be arranged upon request, subject to availability.

 

Selection Criteria

As the workshop is limited to 8 participants, applicants are asked to briefly describe in the registration form how
their research will benefit from participation in this workshop. Applications will be carefully reviewed based on
the submitted motivation statement. Following the evaluation process, applicants will be informed of the
outcome by 14 September 2026.

 

Application Timeline

• Registration opens: 23 July 2026

• Registration closes: 8 September 2026

• Notification of decision: 14 September 2026

 

Trainers

Dr. Gokilavani Thangavel (gokilavani.thangavel@kit.edu)

Dr. Banafsheh Golchoubian (banafsheh.golchoubian@kit.edu)

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