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22 May 2025

体电子显微学会

China Webinar
29 May 2025

AI解析光片多维图像

China Webinar
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.
Image: Human stem cell-derived mid brain organoids. Courtesy of Dr Tanya Singh, University of Oxford.

Unlocking the Secrets of Organoid Models in Biomedical Research

Get ready to delve deeper into the world of organoids and 3D models, which are essential tools for advancing our understanding of human health. Navigating these complex structures and obtaining clear…
Transfection using the Uncommon Bio reprogramming system. Image acquired using the THUNDER Imager 3D Cell Culture with THUNDER Large Volume Computational Clearing (LVCC) applied. Image courtesy of Samuel East, Uncommon Bio.

Designing the Future with Novel and Scalable Stem Cell Culture

Visionary biotech start-up Uncommon Bio is tackling one of the world’s biggest health challenges: food sustainability. In this webinar, Stem Cell Scientist Samuel East shows how they make stem cell…
Dapi – Nucleus, GFP – Plasma Membrane, Thickness 100µm, 63x objektive, 469 Z planes, 2 channels, THUNDER Imager 3D Cell Culture. Courtesy M.Sc. Dana Krauß, Medical University of Vienna (Austria).

How Efficient is your 3D Organoid Imaging and Analysis Workflow?

Organoid models have transformed life science research but optimizing image analysis protocols remains a key challenge. This webinar explores a streamlined workflow for organoid research, starting…
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…
Single cell datasets

Exploring Subcellular Spatial Phenotypes with SPARCS

Discover spatially resolved CRISPR screening (SPARCS), a platform for microscopy-based genetic screening for spatial subcellular phenotypes at the human genome scale.
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