Webinars

Take a look at our upcoming and on-demand webinars. Join us at one of our next events!

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

All events

03 Jul 2025

显微切割技术在空间组学和药物开发中的应用探索

China • Webinar

03 Jul 2025

Image Segmentation to Study Plant Biology

• Webinar

3D high-plex imaging in cancer immunology. Overview of a pancreatic tumor section in mouse model, labeled with 15 markers and imaged in one go using STELLARIS with SpectraPlex. (https://www.nature.com/articles/d42473-024-00260-7)

How to Streamline High-Plex Imaging for 3D Spatial Omics Advances

In this webinar, Dr. Julia Roberti and Dr. Luis Alvarez from Leica Microsystems introduce SpectraPlex, a new functionality integrated into the STELLARIS confocal platform for high-plex 3D spatial…

Large volume computational clearing processed Thunder image of human pancreatic islet organoid. Cells segmented using Segment By Example tool, automatically phenotyped, and color-coded based on phenotypes in Aivia. Image courtesy of the Matthias von Herrath Lab, La Jolla Institute of Immunology, La Jolla, CA.

Get to Insights Faster and Easier with AI Image Analysis Tools

Discover how Aivia helps scientists streamline image analysis with fast setup, accurate AI detection, and easy batch processing.

Accelerating Discovery for Multiplexed Imaging of Diverse Tissues

Explore IBEX: Open-source multiplexed imaging. Join the collaborative IBEX Imaging Community for optimized tissue processing, antibody selection, and human atlas construction.

2D slice of colon cancer tissue stained with 30 markers and imaged using the Cell DIVE system. Analysis performed using Aivia 13’s new multiplex cell detection recipe and automatic clustering tool. Each phenotype denoted in a different color.

Transforming Multiplexed 2D Data into Spatial Insights Guided by AI

Aivia 13 handles large 2D images and enables researchers to obtain deep insights into microenvironment surrounding their phenotypes with millions of detected objects and automatic clustering up to 30…

Hepatocellular Carcinoma with 13 biomarkers shown – Beta-Catenin, CD3D, CD4, CD8a, CD31, CD44, CD163, DAPI, PanCK, PCK26, PD1, SMA, and Vimentin.

Understanding Tumor Heterogeneity with Protein Marker Imaging

Explore tumor heterogeneity and immune cell dynamics. See how quantitative imaging analysis reveals spatial relationships and molecular insights crucial for advancing cancer research and therapeutics.

Esophageal tissue with a squamous cell carcinoma labelled with the 4 biomarkers PanCk, DAPI, NaKATPase, and Vimentin.

Discover how Multiplexed Bioimaging can Advance Cancer Research

Explore multiplexing with up to 60 biomarkers, enabling advanced tumor imaging approaches to gather precise, spatially-resolved single-cell data that helps enhance cancer research and clinical…