Leica Microsystems: Science Lab

Science Lab

Das Wissensportal von Leica Microsystems bietet Ihnen Wissens- und Lehrmaterial zu den Themen der Mikroskopie. Die Inhalte sind so konzipiert, dass sie Einsteiger, erfahrene Praktiker und Wissenschaftler gleichermaßen bei ihrem alltäglichen Vorgehen und Experimenten unterstützen. Entdecken Sie interaktive Tutorials und Anwendungsberichte, erfahren Sie mehr über die Grundlagen der Mikroskopie und High-End-Technologien - werden Sie Teil der Science Lab Community und teilen Sie Ihr Wissen!

Lifetime-based multiplexing in live cells using TauSeparation. Mammalian cells expressing LifeAct-GFP (ibidi GmbH) and labelled with MitoTracker Green. Acquisition with one detector, intensity information shown in grey. The two markers can be separated using lifetime information: LifeAct-GFP (cyan), MitoTracker Green (magenta). Image acquired with STELLARIS 5.

The Power of Reproducibility, Collaboration and New Imaging Technologies

In this webinar you willl learn what impacts reproducibility in microscopy, what resources and initiatives there are to improve education and rigor and reproducibility in microscopy and how…

Branched organoid growing in collagen where the Nuclei are labeled blue. To detect the mechanosignaling process, the YAP1 is labeled green.

Examining Developmental Processes In Cancer Organoids

Interview: Prof. Bausch and Dr. Pastucha, Technical University of Munich, discuss using microscopy to study development of organoids, stem cells, and other relevant disease models for biomedical…

Mouse cortical neurons. Transgenic GFP (green). Image courtesy of Prof. Hui Guo, School of Life Sciences, Central South University, China

How Microscopy Helps the Study of Mechanoceptive and Synaptic Pathways

In this podcast, Dr Langenhan explains how microscopy helps his team to study mechanoceptive and synaptic pathways, their challenges, and how they overcome them.

Advanced technologies support neurosurgical teaching. Image courtesy of Dr. Florian Bernard.

3D, AR & VR for Teaching in Neurosurgery

Discover the evolution of neurosurgical teaching and how 3D, Augmented Reality and Virtual Reality can help better learn anatomy and acquire surgical skills.

Cell counts for each biomarker were divided by total number of cells to give a percentage of biomarker positive cells out of total cells for each biomarker.

Methoden zur Verbesserung der Reproduzierbarkeit in der räumlichen Biologieforschung

Durch den Einsatz von Automatisierung, hochwertigen Antikörpern und einem bewährten Multiplex-Imaging-Workflow ist Cell DIVE in der Lage, reproduzierbare Ergebnisse zu liefern. In diesem Poster…

THY1-EGFP labeled neurons in mouse brain processed using the PEGASOS 2 tissue clearing method, imaged on a Leica confocal microscope. Neurons were traced using Aivia’s 3D Neuron Analysis – FL recipe. Image credit: Hu Zhao, Chinese Institute for Brain Research.

Unlocking Insights in Complex and Dense Neuron Images Guided by AI

The latest advancement in Aivia AI image analysis software provides improved soma detection, additional flexibility in neuron tracing, 3D relational measurement including Sholl analysis and more.

PDAC Multiplexed imaging of CST panels enables an examination of immune cell components in pancreatic ductal adenocarcinoma (IPDAC) tissue on a single slide.

Characterizing tumor environment to reveal insights and spatial resolution

Antibodies from Cell Signaling Technology are validated for use with the Cell DIVE multiplexing workflow and used to probe cell lineages in the tumor microenvironment

What are the Challenges in Neuroscience Microscopy?

eBook outlining the visualization of the nervous system using different types of microscopy techniques and methods to address questions in neuroscience.

AI-based workflow for fast rare event detection in living biological samples using Autonomous Microscopy powered by Aivia

AI Microscopy Enables the Efficient Detection of Rare Events

Localization and selective imaging of rare events is key for the investigation of many processes in biological samples. Yet, due to time constraints and complexity, some experiments are not feasible…