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Webinars

Serial Lift-Out workflow for cryo-ET lamella preparation - Schematic illustration of the Serial Lift-Out method applied to a vitrified biological sample (e.g., C. elegans larva) embedded in bulk vitreous ice (blue). Image courtesy: Prof. Dr. Jürgen M. Plitzko - doi.org/10.1038/s41592-023-02113-5.

Cryo-ET Sample Preparation: From Waffle Method to Serial Lift-Out

Cryo-ET sample preparation becomes more demanding when specimens are thicker, larger, or more complex. This webinar brings together four perspectives on how high-pressure freezing can be connected…
Low-input spatial proteomics workflow for megakaryocyte isolation from bone marrow.

Spatial Proteomics Workflow in Blood Cancer (MPNs)

Megakaryocytes play a central role in the biology of myeloproliferative neoplasms (MPNs), yet their in vivo proteomic characterization remains a major challenge due to low abundance and disrupted…
Long-term in toto imaging of FUCCI2 intestinal organoids.

Multiscale Imaging of Organoids: High Content to Light Sheet

Learn multiscale organoid imaging: fixed high content phenotyping, gentle dual view light sheet, and reproducible pipelines that turn 3D data into insights.
Foraminifera (Ammonia confertitesta) labeled with membrane-permeable calcein, high-pressure frozen in salt water using EM ICE. The sample was cryo-planed and targeted with the M205 on the Cryo-Fluo Enuity, then transferred under cryo conditions to the Cryo-Stellaris for widefield and confocal imaging, revealing details of the staining pattern. Image courtesy: David Evans, University of Southampton.

High-Pressure Freezing for Organoids: Cryo CLEM & FIB Lift Out

Master cryo EM workflow steps for challenging 3D samples: when to choose HPF vs. plunge freezing, reproducible blotting/ice control, contamination aware transfers, Cryo CLEM 3D targeting in organoids,…
Single cells collected via laser microdissection as part of the Deep Visual Proteomics workflow.

人工智能与深度视觉蛋白质组学 (DVP) 相结合，推进疾病研究

在这次网络研讨会上，Andreas Mund 博士将介绍深度可视蛋白质组学（DVP）--一种将人工智能驱动的组织空间分辨、非靶向蛋白质组学相结合的尖端平台。他展示了 DVP 如何从最小的、表型匹配的细胞群中识别数千种蛋白质，并在复杂的临床组织样本中生成高分辨率分子图谱，从而在细胞水平上解码疾病机制。
这些图像说明，要捕捉特定细胞中的所有 gH2Ax 病灶并进行精确计数，用多个三维光切片方法实现。

罕见疾病 CRISPR 疗法的开发与风险解除

Fyodor Urnov博士和Sadik Kassim博士最初是在ASGCT 2025会议上作这一按需演讲的，演讲的重点是遗传医学中的一个关键挑战：如何将CRISPR疗法从单一疾病解决方案扩展到平台方法，特别是针对罕见的儿科遗传疾病。Urnov 博士展示了由 Matthew Kan 博士领导的创新基因组研究所的工作，这是 IGI-Danaher Beacon for CRISPR Cures…
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