Dynamics in Life: Analyse large 4D datasets seamlessly with ZEISS arivis Cloud

17:10 – 18:10 BST, 5 June 2024 ‐ 1 hour

Carl Zeiss Microscopy

Daniel Hansen, Alan Kidger

Workshop Room 11A

Zeiss_03

Understanding dynamic behaviour is vital to gaining insights into biological processes. Across all scales, dynamics provide a crucial insight, from movement of organisms, organs or cells, developmental changes in organisms or tissues to cell-cell interactions and intracellular molecular behaviour which one often cannot observe due to phototoxicity, slow acquisitions or too complicated software. ZEISS offers a wide range of systems & software to observe & analyse samples with minimal light exposure at high speed down to molecular resolution. 

Get ready to dive into the exciting world of light sheet microscopy and image analysis with ZEISS! Join us for an upcoming workshop where we'll demonstrate the incredible power of Deep Learning (DL) in segmenting light sheet image data.

In the field of microscopy, image segmentation is a crucial step in image analysis, and traditional methods can be time-consuming and require manual intervention. But with deep learning, we can simplify and automate the segmentation process, making it faster, more efficient than ever before and allow you to do research that was previously not possible!

During this workshop, we'll explore a fascinating case study of C. elegans embryo development, where researchers leveraged the superior performance of ZEISS arivis Cloud platform to develop DL networks that could be executed in the true 3D environment of ZEISS arivis Pro. This allowed them to segment and track cell division in a C. elegans embryo during the very early stages of development.

After the workshop, participants will be able to experience the analysed data in VR, providing a unique and immersive perspective on their research. Don't miss out on this incredible opportunity to learn how to efficiently reach results from your acquired images and experience the power of ZEISS image analysis solutions.