生命科学研究

在生命科学研究中心，您可以掌握最新的关于先进显微镜、成像技术、电镜样品制备和图像分析的前沿应用和创新，涵盖的主题包括细胞生物学、神经科学和癌症研究。希望在这里可以帮助您提升研究能力和精进显微镜在各个科学领域实际应用，并了解徕卡如何通过精确的可视化、图像解读和推进研究进展来赋能您的工作。

Multicolor TauSTED Xtend 775 for Cell Biology applications that require nanoscopy resolution for multiple cellular components. Cells showing vimentin fibrils (AF 594), actin network (ATTO 647N), and nuclear pore basket (CF 680R). Sample courtesy of Brigitte Bergner, Mariano Gonzales Pisfil, Steffen Dietzel, Core Facility Bioimaging, Biomedical Center, Ludwig-Maximilians-University, Munich, Germany.

STED样品制备指南

这份指南旨在帮助用户优化受激发射损耗（STED）纳米成像的样品制备，特别是在使用徕卡微系统的STED显微镜时。它提供了单色STED成像用荧光标记的概述，并对其性能进行了评级。

Masson-Goldner staining of a hedgehog brain slice.

How to Streamline Your Histology Workflows

Streamline your histology workflows. The unique Fluosync detection method embedded into Mica enables high-res RGB color imaging in one shot.

An 8-color spectral unmixing result from a hyperspectral SRS (stimulated Raman scattering) dataset, showing the biochemically distinct structures of a fresh, untreated apple slice.

How to Prepare Samples for Stimulated Raman Scattering (SRS) imaging

Find here guidelines for how to prepare samples for stimulated Raman scattering (SRS), acquire images, analyze data, and develop suitable workflows. SRS spectroscopic imaging is also known as SRS…

加速不同组织多重成像的发现

组织的多重成像对于肿瘤-免疫相互作用的研究以及人类细胞图谱等发现工作越来越重要。欢迎加入我们的演讲，Andrea J. Radtke 博士解释了如何使用迭代漂白扩展多重性 (IBEX) 绘制组织图谱，并讨论了用于多重成像的广泛社区资源。

Microscope equipped with a K7 color CMOS camera for life-science and industry imaging applications.

数码显微镜摄像头和图像分析的基础技术术语定义

现今绝大多数显微镜都配置了摄像头。摄像头的特征通常决定了所采集到的图像是否能够揭示出研究人员希望观察到的现象。但深入到摄像头术语时，技术术语十分繁杂。我们汇总整理了最为重要的术语及其简明释意以便提供方向。这些术语按字母顺序排列。

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…