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显微镜科学与教学知识中心

显微镜科学与教学知识中心

显微镜科学与教学知识中心

徕卡显微系统的知识库提供有关显微镜学科的科学研究和教学材料。内容旨在对显微镜初学者、有经验的显微镜操作实践者和使用显微镜的科学家在他们的日常工作和实验有所帮助。这里有探索交互式教程和应用笔记,你可以找到你需要的显微镜的基础知识以及前沿技术——快来加入徕卡显微知识社区,分享您的专业知识!
[Translate to chinese:] Multiplexed Cell DIVE imaging of Adult Human Alzheimer’s brain tissue section demonstrating expression of markers specific to astrocytes (GFAP, S100B), microglia (TMEM119, IBA1), AD-associated markers (p-Tau217, β-amyloid) and immune cells such as CD11b+, CD163+, CD4+, and HLA-DRA+, clustered around the β-amyloid plaques.

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…
[Translate to chinese:] Salmonella biofilms 3D render

探索微生物世界:三维食品基质中的空间相互作用

Micalis 研究所是与 INRAE、AgroParisTech 和巴黎萨克雷大学合作的联合研究单位。其使命是开发食品微生物学领域的创新研究,以促进健康。在这一系列视频中,Micalis…
[Translate to chinese:] Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue

使用空间多重化探测人类阿尔茨海默病皮层切片

阿尔茨海默病(AD)是最常见的神经退行性疾病,其特征是认知功能的逐渐下降。对 AD 大脑的空间分析可能揭示细胞关系,从而促进对疾病病因的更好理解。本研究捕捉了 AD 皮层组织成分的全球概述,并强调了 Cell DIVE 成像的简化工作流程,从数据采集到使用 Aivia 软件的基于人工智能的分析,最终实现更快的洞察。
[Translate to chinese:] Brightfield image of a pig liver stained with hematoxylin-eosin (HE).

空间代谢组学:探索肿瘤复杂性和治疗见解

在癌症研究中,理解肿瘤细胞与其微环境之间的相互作用至关重要,因为肿瘤微环境显著影响肿瘤进展。空间代谢组学是一种由研究人员开发的新方法,用于研究这一复杂性。通过揭示肿瘤微环境中的空间变化,该方法提供了对其多样化成分及其组织的宝贵见解。这些见解不仅影响临床结果,还为治疗反应提供信息,为个性化治疗策略铺平道路。
[Translate to chinese:] Mosaic scan of a Masson-Goldner stained cat brain. Magnification: 20x.

基于激光显微切割的稀疏细胞脂质组学分析

通过高覆盖率靶向脂质组学分析稀疏细胞,深入探讨细胞复杂性。这种先进的方法结合了激光显微切割(LMD)和液相色谱-质谱/质谱(LC-MS/MS),揭示了单细胞水平的代谢变化,阐明了糖尿病和肥胖等疾病。通过采用激光显微切割(LMD)获得无污染样本,并使用 SCIEX 7500 系统提高灵敏度,该方法成功检测到 285…
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…

如何成功进行活细胞光电关联

Coral Life 提供了简化的活细胞 CLEM 解决方案,用于深入了解细胞成分随时间发生的结构变化。除了工作流程手册中描述的技术处理外,本文还提供了成功进行实验的其他知识。
Mouse retina was fixed and stained by following reagents: anti-CD31 antibody (green): Endothelia cells, IsoB4 (red): Blood vessels, and microglia anti-GFAP antibody (blue): Astrocytes Sample courtesy by Jeremy Burton, PhD and Jiyeon Lee, PhD, Genentech Inc., South San Francisco, USA. Imaged by Olga Davydenko, PhD (Leica). Imaged with a THUNDER Imager 3D Cell Culture.

An Introduction to Computational Clearing

Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise…
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