Spatial Analysis of Neuroimmune Interactions in Alzheimer’s Disease
Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by neurofibrillary tangles, β-amyloid plaques, and neuroinflammation. These dysfunctions trigger or are exacerbated by…
A Guide to Spatial Biology
What is spatial biology, and how can researchers leverage its tools to meet the growing demands of biological questions in the post-omics era? This article provides a brief overview of spatial biology…
Exploring Microbial Worlds: Spatial Interactions in 3D Food Matrices
The Micalis Institute is a joint research unit in collaboration with INRAE, AgroParisTech, and Université Paris-Saclay. Its mission is to develop innovative research in the field of food microbiology…
Probing Human Alzheimer's Cortical Section using Spatial Multiplexing
Alzheimer’s disease (AD) is the most common neurodegenerative disease and is characterized by the progressive decline of cognitive function. Spatial profiling of AD brain may reveal cellular…
Spatial Metabolomics: Exploring Tumor Complexity and Therapeutic Insights
In cancer research, it is vital to understand the interaction between tumor cells and their microenvironment, as the tumor microenvironment influences tumor progression significantly. Spatial…
Lipidomics Analysis of Sparse Cells based on Laser Microdissection
Delve into cellular intricacies with high-coverage targeted lipidomics analysis of sparse cells. This advanced method, integrating Laser Microdissection (LMD) and Liquid Chromatography-Mass…
您的 3D 类器官成像和分析工作流程效率如何?
类器官模型已经改变了生命科学研究,但优化图像分析协议仍然是一个关键挑战。本次网络研讨会探讨了类器官研究的简化工作流程,首先是实时的三维细胞培养检查,接下来是高速、高分辨率的三维成像,生成清晰的图像和更纯净的数据,以便对生长速率、细胞迁移和三维细胞相互作用等参数进行准确地人工智能分割和量化,从而实现更深入的洞察。
Cell DIVE开放式超多重免疫荧光成像如何赋能空间生物学
空间生物学和多重成像工作流程在免疫肿瘤学研究中变得越来越重要。许多研究人员即使使用有效的工具和方案,也很难提高研究效率。我们将介绍研究人员如何利用开放式超多重免疫荧光的适应性,将 IBEX 成像与Cell DIVE 相结合,创造了一种名为 Cell DIVE-IBEX 的技术。它让这些研究人员能够调整现有的技术和试剂,并获得Cell DIVE 在其免疫肿瘤学研究中的可扩展性。
激光显微切割技术如何助力神经科学研究取得开创性进展?
玛尔塔·帕特林尼博士,卡罗林斯卡学院的高级科学家,分享了她在成人人类神经发生开创性研究中使用激光显微切割(LMD)的经验,并提供了关于LMD在空间蛋白质组学和精准医学中未来应用潜力的个人见解。