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!

Dual color volume rendering of Drp1 oligomers (green) and mito OM (red) in a live U2OS cell

Multicolor 4D Super Resolution Light Sheet Microscopy

The AI Microscopy Symposium offers a unique forum for discussing the latest AI-based technologies and tools in the field of microscopy and biomedical imaging. In this scientific presentation, Yuxuan…

Wie Sie Gewebeproben für die Immunfluoreszenz-Mikroskopie vorbereiten

Immunfluoreszenz (IF) ist eine leistungsfähige Methode zur Visualisierung intrazellulärer Prozesse, Bedingungen und Strukturen. IF-Präparate können mit verschiedenen Mikroskopietechniken (z. B. CLSM,…

Live-Cell Imaging Techniques

The understanding of complex and/or fast cellular dynamics is an important step for exploring biological processes. Therefore, today’s life science research is increasingly focused on dynamic…

3D-volume-rendered light-sheet microscope image of a spheroid showing depth coding in different colors.

Imaging of Anti-Cancer Drug Uptake in Spheroids using DLS

Spheroid 3D cell culture models mimic the physiology and functions of living tissues making them a useful tool to study tumor morphology and screen anti-cancer drugs. The drug AZD2014 is a recognized…

Intravital Microscopy of Cancer

Join our guest speaker Prof Dr Jacco van Rheenen, as he presents his work on the identity, behavior and fate of cells that drive the initiation and progression of cancer.

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.

Separation of cells based on their tracking status: A colourised binary mask of a time-lapse microscopy field of view of medium confluency with individual cells highlighted as survivors if they can be tracked since the initial movie frame (cyan), incomers if they migrated into the field of view throughout the movie (yellow) or mistracks if an error occurred in the automated trajectory reconstruction (red).

Tracking Single Cells Using Deep Learning

AI-based solutions continue to gain ground in the field of microscopy. From automated object classification to virtual staining, machine and deep learning technologies are powering scientific…

Analysis of anatomy and axon orientation of an adult mouse brain tissue with QLIPP.

Learning the Cellular Architecture from its Optical Properties

In the last 3 years, microscopists have started to use "AI based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image…

Dynamic Signal Enhancement powered by Aivia: Truly simultaneous multicolor imaging of live cells (U2OS) in 3D

Artificial Intelligence and Confocal Microscopy – What You Need to Know

This list of frequently asked questions provides “hands-on” answers and is a supplement to the introductory article about Dynamic Signal Enhancement powered by Aivia "How Artificial Intelligence…