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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！

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 Cell DIVE's multiplexed imaging 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.
Mouse whole-mount retina. Image courtesy of the Experimental Ophthalmology Group, University of Murcia, Spain.

快速、高灵敏度成像和人工智能辅助分析

The specificity of fluorescence microscopy allows researchers to accurately observe and analyze biological processes and structures quickly and easily, even when using thick or large samples. However,…
3D reconstruction of an isolated human islet

为活细胞成像创造新选择

对厚实的活体样本进行成像时，主要挑战之一是获得图像质量与组织完整性之间的平衡。长时间的图像采集期间，弱信号光会导致低信号水平，导致图像对比度低以及分割和分析困难。需要通过高剂量成像或高时间分辨率成像技术加强信号强度时，这一问题更加突出。一个常见问题是：我如果快速成像、一次完成，会不会造成样本过度漂白或者细胞死亡？
Left-hand image: The distribution of immune cells (white) and blood vessels (pink) in white adipose tissue (image captured using the THUNDER Imager 3D Cell Culture). Right-hand image: The same image after automated analysis using Aivia, with each immune cell color-coded based on its distance to the nearest blood vessel. Image courtesy of Dr. Selina Keppler, Munich, Germany.

精确分析宽视野荧光图像

利用荧光显微镜的特异性，即便是使用厚样品和大尺寸样品，研究人员也能够快速轻松地准确观察和分析生物学过程和结构。然而，离焦荧光会提高背景荧光，降低对比度，影响图像的精确分割。THUNDER 与Aivia 的组合可以有效解决这一问题。前者可以消除图像模糊，后者会使用人工智能技术自动分析宽视野图像，提高操作速度和精确性。下面，我们来详细了解下这一协作方法。

Save Time and Effort with AI-assisted Fluorescence Image Analysis

The powerful synergy of THUNDER and Aivia analyze fluorescence images with greater accuracy, even when using low light excitation.
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