About this Event
Discover cutting-edge image analysis techniques at the fifth edition of CBIAS, where biomedical researchers and leading developers will demonstrate how these methods can transform your research.
Modern microscopy allows for the acquisition of large, multi-dimensional datasets, revolutionizing biomedical research. However, the complexity of automated analysis pipelines can be a barrier for many life scientists. Our symposium aims to bridge this gap by showcasing how advanced image analysis can answer key biological questions and enhance research outcomes.
Symposium Highlights:
- Explore the potential of image analysis in biomedical research.
- Connect with experts and peers in the field.
- Learn about the latest tools and techniques
CBIAS features a mix of invited and selected talks, poster sessions, and panel discussions focused on current topics in image analysis and image processing for microscopy and computational microscopy. We place a major emphasis on promoting early-career researchers, providing them an opportunity to showcase their work to a wide audience. You will be invited to submit an abstract for a poster or oral presentation following registration.
Approximate Timeline:
- mid-July – deadline for early bird registration
- mid-August – Abstract submission deadline
- mid-September – Speakers selected from abstracts notified
- end-September – Finalise programme
CBIAS Workshop:
On Wednesday, November 27th and Thursday, November 28th, we will host a hands-on, day-long introductory workshop on napari (https://napari.org). This workshop will:
- Introduce image analysts to napari.
- Guide participants through basic analysis tasks.
- Help attendees get started with implementing plugins.
Stay tuned for further details on the workshop application process.
For a list of confirmed speakers, please visit the Crick website.
Please contact [email protected] if you have any questions.
Event Venue & Nearby Stays
The Francis Crick Institute, 1 Midland Road, London, United Kingdom
GBP 21.98 to GBP 200.00