Science Lab

Science Lab

Science Lab

ライカマイクロシステムズのナレッジポータルでは、顕微鏡の基礎から最先端技術まで、幅広い情報を提供しています。初心者から熟練者、研究者、医師の皆様まで、日々の研究や実験に役立つ内容となっております。チュートリアルやアプリケーションノートを活用し、学びながら探究心を刺激してください。さらに、コミュニティに参加することで、知見を共有し、新たな発見へとつなげましょう。お気軽に参加いただき、互いの専門知識を深め合う場としてご活用ください。
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…

Fluorescence Lifetime-based Imaging Gallery

Confocal microscopy relies on the effective excitation of fluorescence probes and the efficient collection of photons emitted from the fluorescence process. One aspect of fluorescence is the emission…

Multicolor Image Gallery

Fluorescence multicolor microscopy, which is one aspect of multiplex imaging, allows for the observation and analysis of multiple elements within the same sample – each tagged with a different…

AI in Microscopy Webinar

We demonstrate residual channel attention networks for restoring and enhancing volumetric time-lapse (4D) fluorescence microscopy data.
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…

How to Conduct Standard-Compliant Analysis of Non-Metallic Inclusions in Steel

This webinar will provide an overview of the significance of non-metallic inclusions in steel and outline the important global standards for rating the quality of steel and difficulties that arise in…
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,…
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