徕卡显微系统的显微镜、成像和分析解决方案

我们通过提供突破性的光学和数字化解决方案，赋能客户，洞见未来。175 多年来，我们在生命科学研究、工业、医学、法医学和教育等领域锐意创新，将可视化和分析技术推向更高，助力明智决策、优化工作流程

瞰见未知，同创世界健康与美好。

多元业务提升洞察

医学专业

全方位产品组合赋能眼科、神经外科、耳鼻喉科、整形外科和口腔科等，总有一款能够满足您的需求。

生命科学研究

通过突破分辨率、速度和信息维度的极限，让科学家能够获得前所未有的洞察力，从而推动科学探索，成就生命无限潜能。

工业显微技术

通过以工作流为中心的创新科技，我们提供高质量和易于使用的解决方案，使用户能够在材料研究、产品研发和生产制造方面获得洞察力和投资回报。

Ivesta 3 格林诺夫体视显微镜

如果您可以提高检查效率并以一致的方式工作呢?

对于制造商或供应商来说，提高检查效率是头等大事。使用Ivesta 3格林诺夫立体显微镜，您可以优化目视检查和返工流程，同时获得可靠、一致的结果

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图像分析软件

Aivia：人工智能显微成像的未来

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Advanced Imaging – DMi8 倒置显微镜

使用 DMi8 倒置显微镜可简化复杂的显微成像工作流程。

们可根据您的研究需求和预算提供量身定制的平台解决方案，助您生成高质量的数据。

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阅读我们的最新文章

徕卡显微系统的知识门户网站提供有关显微镜学的科学研究资料和教学材料。网站内容专门面向初学者、经验丰富的从业者和科学家，为他们的日常工作和实验提供支持。

斑马鱼研究

为了在筛选、分拣、操作和成像过程中获取高质量结果，您需要观察细节和结构，从而为您的下一步研究做出正确的决策。徕卡体视显微镜和透射光底座以出众的光学器件和优良的分辨率而闻名，是全世界研究学者的首选。

3D high-plex imaging in cancer immunology. Overview of a pancreatic tumor section in mouse model, labeled with 15 markers and imaged in one go using STELLARIS with SpectraPlex. (https://www.nature.com/articles/d42473-024-00260-7)

How to Streamline High-Plex Imaging for 3D Spatial Omics Advances

In this webinar, Dr. Julia Roberti and Dr. Luis Alvarez from Leica Microsystems introduce SpectraPlex, a new functionality integrated into the STELLARIS confocal platform for high-plex 3D spatial…

Evolved ARveo and MyVeo in Operating Room

The Guide to Augmented Reality in Microsurgery

In an era of technological advancement, Augmented Reality (AR) is rapidly transforming the medical field. In surgical microscopy, AR can display fluorescence signals as digital overlays in real-time…

Zebrafish-embryo image captured using a THUNDER Imager Tissue and live instant computational clearing.

Improving Zebrafish-Embryo Screening with Fast, High-Contrast Imaging

Discover from this article how screening of transgenic zebrafish embryos is boosted with high-speed, high-contrast imaging using the DM6 B microscope, ensuring accurate targeting for developmental…

Pancreatic Ductal Adenocarcinoma with 11 Apoptosis biomarkers shown – BAK, BAX, BCL2, BCLXL, Caspase9, CIAP1, NaKATPase, PCK26, SMAC, Vimentin, and XIAP.

Transforming Research with Spatial Proteomics Workflows

Spatial Proteomics, Nature Methods 2024 Method of the Year, is driving research advancements in cancer, immunology, and beyond. By combining positional data with high throughput imaging of proteins in…

C. elegans embedded in Lowicryl® HM20; pharynx showing red fluorescence (mCherry). The overview shows a front view onto the resin capsule formed by the bottom of a flow-through chamber of the EM AFS2. The capsule was pretrimmed manually. The blockface was trimmed automatically using the AutoTrim function of UC Enuity guided by fluorescence of the worm. Edge length of both squares in relation to the images is 250 µm.

How Fluorescence Guides Sectioning of Resin-embedded EM Samples

Electron microscopes, including transmission electron microscopes (TEM) and scanning electron microscopes (SEM), are widely utilized to gain detailed structural information about biological samples or…

Coherent Raman Scattering Microscopy Publication List

CRS (Coherent Raman Scattering) microscopy is an umbrella term for label-free methods that image biological structures by exploiting the characteristic, intrinsic vibrational contrast of their…

Example of a Leica stereo microscope, Ivesta 3, with integrated digital camera which can be used as a dissecting microscope.

解剖显微镜

实施解剖工作时，您可以通过解剖显微镜的目镜观察很长时间。徕卡显微系统为您提供各种显微镜和范围广泛的解剖显微镜零配件，确保您能找到最符合您需求的显微镜解决方案。

Large volume computational clearing processed Thunder image of human pancreatic islet organoid. Cells segmented using Segment By Example tool, automatically phenotyped, and color-coded based on phenotypes in Aivia. Image courtesy of the Matthias von Herrath Lab, La Jolla Institute of Immunology, La Jolla, CA.

利用人工智能图像分析工具更快、更轻松地获得洞察力

了解 Aivia 如何通过快速设置、准确的人工智能检测和简便的批量处理功能，帮助科学家简化图像分析。

Image: Human stem cell-derived mid brain organoids. Courtesy of Dr Tanya Singh, University of Oxford.

揭开类器官模型在生物医学研究中的秘密

准备深入了解类器官和3D培养物的世界，它们是促进我们了解人类健康的重要工具。浏览这些复杂的结构并获取清晰的图像进行分析是一项挑战。在本次活动中，来自牛津大学和伦敦大学学院的研究人员将与我们一起展示Thunder Imager Cell转盘共聚焦系统如何提供更有说服力的高质量数据，以便深入了解各种模型。