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!

How does an Automated Rating Solution for Steel Inclusions Work?

The rating of non-metallic inclusions (NMIs) to determine steel quality is critical for many industrial applications. For an efficient and cost-effective steel quality evaluation, an automated NMI…

Mouse retina was fixed and stained by following reagents: anti-CD31 antibody (green): Endothelia cells, IsoB4 (red): Blood vessels, and microglia anti-GFAP antibody (blue): Astrocytes Sample courtesy by Jeremy Burton, PhD and Jiyeon Lee, PhD, Genentech Inc., South San Francisco, USA. Imaged by Olga Davydenko, PhD (Leica). Imaged with a THUNDER Imager 3D Cell Culture.

An Introduction to Computational Clearing

Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise…

Challenges Faced When Manually Rating Non-Metallic Inclusions (NMIs) to Determine Steel Quality

Rapid, accurate, and reliable rating of non-metallic inclusions (NMIs) is instrumental for the determination of steel quality. This article describes the challenges that arise from manual NMI rating,…

Fluorescence microscopy image on the left with no distinction between the fluorescent signal and background autofluorescence. FLIM was used in the image on the right to differentiate autofluorescence in chloroplasts (blue) from the desired fluorescent signal from the cell membrane (green).

Learn how to Remove Autofluorescence from your Confocal Images

Autofluorescence can significantly reduce what you can see in a confocal experiment. This article explores causes of autofluorescence as well as different ways to remove it, from simple media fixes to…

Bridging Structure and Dynamics at the Nanoscale through Optogenetics and Electrical Stimulation

Nanoscale ultrastructural information is typically obtained by means of static imaging of a fixed and processed specimen. However, this is only a snapshot of one moment within a dynamic system in…

HeLa cell spheroid stained with Alexa Fluor 568 Phalloidin (Actin) and YOYO 1 iodide (Nucleus).

Real Time Images of 3D Specimens with Sharp Contrast Free of Haze

THUNDER Imagers deliver in real time images of 3D specimens with sharp contrast, free of the haze or out-of-focus blur typical of widefield systems. They can even image clearly places deep inside a…