A Guide to C. elegans Research – Working with Nematodes
Efficient microscopy techniques for C. elegans research are outlined in this guide. As a widely used model organism with about 70% gene homology to humans, the nematode Caenorhabditis elegans (also…
How a Breakthrough in Spatial Proteomics Saved Lives
Toxic epidermal necrolysis (TEN) is a rare but devastating reaction to common medications like antibiotics or gout treatments. It begins innocuously, often as a rash, but can escalate rapidly into…
A Novel Laser-Based Method for Studying Optic Nerve Regeneration
Optic nerve regeneration is a major challenge in neurobiology due to the limited self-repair capacity of the mammalian central nervous system (CNS) and the inconsistency of traditional injury models.…
How to Image Axon Regeneration in Deep Muscle Tissue
This study highlights Dr. Aaron Lee’s research on mapping nerve regeneration in muscle grafts post-amputation. Limb loss often leads to reduced quality of life, not only from tissue loss but also due…
Capturing Developmental Dynamics in 3D
This application note showcases how the Viventis Deep dual-view light sheet microscope was successfully used by researchers for exploring high-resolution, long-term imaging of 3D multicellular models…
A Guide to Using Microscopy for Drosophila (Fruit Fly) Research
The fruit fly, typically Drosophila melanogaster, has been used as a model organism for over a century. One reason is that many disease-related genes are shared between Drosophila and humans. It is…
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…
用于三维生物成像的集成连续切片与冷冻电镜工作流程
本场网络研讨会探讨了集成化工具如何支持从样品制备到图像分析的电子显微镜全流程。专家Andreia Pinto博士、Adrian Boey博士与Hoyin Lai博士将介绍UC Enuity超薄切片机和Aivia图像分析平台，并演示这些工具如何同时适用于常温与低温实验环境。会议内容包含阵列断层成像、基于深度学习的图像分割、以及生物成像中cryo-lift-out工作流程的实际案例解析。
多重成像揭示结肠癌的肿瘤免疫格局
由于抗药性和复发，癌症免疫疗法获益者寥寥无几，而针对癌症免疫周期多个步骤的组合治疗策略可能会改善治疗效果。这项研究表明，高通量空间蛋白质组学可用于识别细胞生物标志物之间的相互作用，并通过绘制肿瘤免疫微环境图来指导精准的组合疗法。
