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。
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…
Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events

Observing Complex Cellular Interactions at Multiple Scales

Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.
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.
Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI

Accelerating Neuron Image Analysis with Automation

The ability to examine complex neural processes relies on the accurate reconstruction of neuronal networks at scale. Most data extraction methods in neuroscience research are time-consuming and…
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…

Designing your Research Study with Multiplexed IF Imaging

Multiplexed tissue analysis is a powerful technique that allows comparisons of cell-type locations and cell-type interactions within a single fixed tissue sample. It is common for researchers to ask…
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