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Take a look at all our upcoming congresses, exhibitions, webinars, and workshops and join us at one of our next events!

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10 May 2024

THUNDER 全国用户会

China Webinar
Developing zebrafish (Danio rerio) embryo, from sphere stage to somite stages.

Studying Early Phase Development of Zebrafish Embryos

VIDEO ON DEMAND - This second edition of MicaCam focuses on combining widefield and confocal imaging to study the early-stage development of zebrafish embryos (Danio rerio), from oocyte to…
U2OS cells stained with Hoechst for nuclei (blue), MitoTracker green (Mitochondria structure, green) and TMRE (active mitochondria, magenta) and SiR for tubulin (red). Simultaneous acquisition of four channel large area overview using Spiral scan feature using the 10x/1.20 CS2 Water MotCORR objective.

How To Get Multi Label Experiment Data With Full Spatiotemporal Correlation

VIDEO ON DEMAND - The first edition of MicaCam focuses on the special challenges of live cell experiments. Our hosts Lynne Turnbull and Oliver Schlicker use the example of studying the mitochondrial…
Dual color volume rendering of Drp1 oligomers (green) and mito OM (red) in a live U2OS cell

Multicolor 4D Super Resolution Light Sheet Microscopy

The AI Microscopy Symposium offers a unique forum for discussing the latest AI-based technologies and tools in the field of microscopy and biomedical imaging. In this scientific presentation, Yuxuan…
Spontaneous colon adenoma

Intravital Microscopy of Cancer

Join our guest speaker Prof Dr Jacco van Rheenen, as he presents his work on the identity, behavior and fate of cells that drive the initiation and progression of cancer.
Separation of cells based on their tracking status: A colourised binary mask of a time-lapse microscopy field of view of medium confluency with individual cells highlighted as survivors if they can be tracked since the initial movie frame (cyan), incomers if they migrated into the field of view throughout the movie (yellow) or mistracks if an error occurred in the automated trajectory reconstruction (red).

Tracking Single Cells Using Deep Learning

AI-based solutions continue to gain ground in the field of microscopy. From automated object classification to virtual staining, machine and deep learning technologies are powering scientific…
Analysis of anatomy and axon orientation of an adult mouse brain tissue with QLIPP.

Learning the Cellular Architecture from its Optical Properties

In the last 3 years, microscopists have started to use "AI based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image…
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