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Science Lab

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!
Spontaneous colon adenoma

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

How Artificial Intelligence Enhances Confocal Imaging

In this article, we show how artificial intelligence (AI) can enhance your imaging experiments. Namely, how Dynamic Signal Enhancement powered by Aivia improves image quality while capturing the…

How to Successfully Perform Live-cell CLEM

The Leica Nano workflow provides a streamlined live-cell CLEM solution for getting insight bout structural changes of cellular components over time. Besides the technical handling described in the…
HeLa Kyoto cells (HKF1, H2B-mCherry, alpha Tubulin, mEGFP). Left image: Maximum projection of a z-stack prior to ICC and LVCC. Right image: Maximum projection of a mosaic z-stack after ICC and LVCC.

How to Improve Live Cell Imaging with Coral Life

For live-cell CLEM applications, light microscopy imaging is a critical step for identifying the right cell in the right state at the right time. In this article, Leica experts share their insights on…
The EM ICE Nano loading area

How to Keep Your Samples Under Physiological Conditions

The Coral Life workflow combines dynamic data with the best possible sample fixation by high pressure freezing. However, good sample preservation won’t help if your cells are stressed by temperature…
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