Leica Microsystems: 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！

Multiplexed Cell DIVE imaging of selected clusters and unique cell populations identified in mucinous cystadenocarcinoma of the ovary.

A Meta-cancer Analysis of the Tumor Spatial Microenvironment

Learn how clustering analysis of Cell DIVE datasets in Aivia can be used to understand tissue-specific and pan-cancer mechanisms of cancer progression

Multiplexed Cell DIVE imaging of Colon Adenocarcinoma (CAC) tissue. A panel of approximately 30 biomarkers targeted towards various leukocyte lineages, epithelial, stromal, and endothelial cell types was utilized to characterize the tumor immune microenvironment in human colon adenocarcinoma (CAC) tissue.

Mapping the Landscape of Colorectal Adenocarcinoma with Imaging and AI

Discover deep insights in colon adenocarcinoma and other immuno-oncology realms through the potent combination of multiplexed imaging of Cell DIVE and Aivia AI-based image analysis

Clustering based analysis reveals various immune cell populations enriched in tumor cells within CT26.WT syngeneic mouse tumor models.

Spatial Architecture of Tumor and Immune Cells in Tumor Tissues

Dig deep into the spatial biology of cancer progression and mouse immune-oncology in this poster, and learn how tumor metabolism can effect immune cell function.

Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

IBEX, Cell DIVE, and RNA-Seq: A Multi-omics Approach to Follicular Lymphoma

In a recent study by Radtke et al., a multi-omics spatial biology approach helps shed light on early relapsing lymphoma patients

[Translate to chinese:] Spheroid stained with Cyan: Dapi nuclear countertain; Green AF488 Involucrin; Orange AF55 Phalloidin Actin; Magenta AF647 CK14.

基于人工智能的表型药物筛查解决方案

本次网络研讨会将全面介绍使用三维细胞培养进行表型药物筛选所遇到的问题、可能的解决方案及规划与执行策略。

[Translate to chinese:] Hepatocellular Carcinoma with 13 biomarkers shown – Beta-Catenin, CD3D, CD4, CD8a, CD31, CD44, CD163, DAPI, PanCK, PCK26, PD1, SMA, and Vimentin.

利用蛋白质标记成像了解肿瘤异质性

Alison Cheung博士展示了如何利用蛋白质多重成像技术为癌症研究提供定量见解，与她一起探索肿瘤异质性和免疫细胞动态。

Esophageal tissue with a squamous cell carcinoma labelled with the 4 biomarkers PanCk, DAPI, NaKATPase, and Vimentin.

Discover how Multiplexed Bioimaging can Advance Cancer Research

Explore multiplexing with up to 60 biomarkers, enabling advanced tumor imaging approaches to gather precise, spatially-resolved single-cell data that helps enhance cancer research and clinical…

Multi-tissue array with 4 markers shown including DAPI, NaKATPase, PanCk, and Vimentin.

Spatial Biology: Learning the Landscape

Spatial Biology: Understanding the organization and interaction of molecules, cells, and tissues in their native spatial context

[Translate to chinese:] Branched organoid growing in collagen where the Nuclei are labeled blue. To detect the mechanosignaling process, the YAP1 is labeled green.

检查癌症类器官的发展进程

德国慕尼黑工业大学的Andreas Bausch实验室研究细胞和生物体中不同结构和功能形成的细胞和生物物理机制。他的团队设计了新的策略、方法和分析工具，以量化微米和纳米等级的发展机制和动态过程。关键研究领域包括干细胞和类器官，从乳腺类器官到胰腺癌类器官，以更好地了解疾病模型。