Science Lab

Science Lab

Science Lab

Willkommen auf dem Wissensportal von Leica Microsystems. Hier finden Sie wissenschaftliches Forschungs- und Lehrmaterial rund um das Thema Mikroskopie. Das Portal unterstützt Anfänger, erfahrene Praktiker und Wissenschaftler gleichermaßen bei ihrer täglichen Arbeit und ihren Experimenten. Erkunden Sie interaktive Tutorials und Anwendungshinweise, entdecken Sie die Grundlagen der Mikroskopie ebenso wie High-End-Technologien. Werden Sie Teil der Science Lab Community und teilen Sie Ihr Fachwissen.
Mouse kidney section with Alexa Fluor™ 488 WGA, Alexa Fluor™ 568 Phalloidin, and DAPI. Sample is a FluoCells™ prepared slide #3 from Thermo Fisher Scientific, Waltham, MA, USA. Images courtesy of Dr. Reyna Martinez – De Luna, Upstate Medical University, Department of Ophthalmology.

The Power of Pairing Adaptive Deconvolution with Computational Clearing

Learn how deconvolution allows you to overcome losses in image resolution and contrast in widefield fluorescence microscopy due to the wave nature of light and the diffraction of light by optical…
Topographic analysis of firing pin.

Topographic Analysis of Firing Pin Impressions on Cartridge Cases

The analysis of fired cartridges for primer cup morphology and flattening and firing pin impression (crater) depth using topographic data is discussed in this article. Topographical analysis of the…

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…
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