Webinars

Deep Visual Proteomics with AI

• Webinar

02 Dec 2025

空间组学新技术与新方法网络研讨会

China • Webinar

These images illustrate the need for multiple z-slices to capture all gH2Ax foci in a given cell and get an accurate count.

Development and Derisking of CRISPR Therapies for Rare Diseases

This on-demand presentation by Dr. Fyodor Urnov and Dr. Sadik Kassim, originally delivered at ASGCT 2025, focused on a critical challenge in genetic medicine: how to scale CRISPR therapies from…

Trichomonas parasite in mouse gut, rOTO Embedding and serial sections for array tomography imaging. Sample courtesy Isabelle Guerin-Bonne, Low Kay En, Electron Microscopy Unit, Yong loo Lin School of Medicine, National University of Singapore

Integrated Serial Sectioning and Cryo-EM Workflows for 3D Biological Imaging

This on-demand webinar explores how integrated tools can support electron microscopy workflows from sample preparation to image analysis. Experts Andreia Pinto, Adrian Boey, and Hoyin Lai present the…

SEM image of the full Li-NMC electrode sample, showing the two porous layers and the metal film at the center of the structure.

通过Cryo-EM(冷冻电镜)和 CryoFIB(冷冻聚焦离子束）揭示钠电池退化机制

探索低温电镜和聚焦离子束技术如何揭示钠电池界面的内在结构。本次研讨会将提出基于隔膜渗透（而非枝晶生长）的新型退化模型，并解析电解液溶剂如何影响界面稳定性与电池性能。

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)

如何优化多标成像技术推动3D空间组学发展

本次网络研讨会上，徕卡显微系统的Julia Roberti博士与Luis Alvarez博士将介绍STELLARIS共聚焦平台的全新功能SpectraPlex，该技术可实现超多标三维空间成像。该技术旨在通过实现超多标成像且无需频繁人工干预，从而简化和增强空间生物学应用。

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.

利用人工智能图像分析工具更快、更轻松地获得洞察力

了解 Aivia 如何通过快速设置、准确的人工智能检测和简便的批量处理功能，帮助科学家简化图像分析。

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

揭开类器官模型在生物医学研究中的秘密

准备深入了解类器官和3D培养物的世界，它们是促进我们了解人类健康的重要工具。浏览这些复杂的结构并获取清晰的图像进行分析是一项挑战。在本次活动中，来自牛津大学和伦敦大学学院的研究人员将与我们一起展示Thunder Imager Cell转盘共聚焦系统如何提供更有说服力的高质量数据，以便深入了解各种模型。

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