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脳神経外科、眼科、形成外科、耳鼻咽喉科、歯科の専門医向けに厳選された、最新の科学・臨床リソースを探索しませんか？ 貴重な症例や洞察、シンポジウムなど、多彩なコンテンツをご覧いただけます。 手術用顕微鏡の最先端技術に焦点を当て、AR蛍光、3D視覚化、術中OCTイメージングといった革新的技術が、複雑な手術の精度向上や意思決定の最適化にどのように貢献するかをご紹介します。
2D slice of colon cancer tissue stained with 30 markers and imaged using the Cell DIVE system. Analysis performed using Aivia 13’s new multiplex cell detection recipe and automatic clustering tool. Each phenotype denoted in a different color.

Transforming Multiplexed 2D Data into Spatial Insights Guided by AI

Aivia 13 handles large 2D images and enables researchers to obtain deep insights into microenvironment surrounding their phenotypes with millions of detected objects and automatic clustering up to 30…
Single cell datasets

Exploring Subcellular Spatial Phenotypes with SPARCS

Discover spatially resolved CRISPR screening (SPARCS), a platform for microscopy-based genetic screening for spatial subcellular phenotypes at the human genome scale.
THY1-EGFP labeled neurons in mouse brain processed using the PEGASOS 2 tissue clearing method, imaged on a Leica confocal microscope. Neurons were traced using Aivia’s 3D Neuron Analysis – FL recipe. Image credit: Hu Zhao, Chinese Institute for Brain Research.

Unlocking Insights in Complex and Dense Neuron Images Guided by AI

The latest advancement in Aivia AI image analysis software provides improved soma detection, additional flexibility in neuron tracing, 3D relational measurement including Sholl analysis and more.
AI-based workflow for fast rare event detection in living biological samples using Autonomous Microscopy powered by Aivia

AI Microscopy Enables the Efficient Detection of Rare Events

Localization and selective imaging of rare events is key for the investigation of many processes in biological samples. Yet, due to time constraints and complexity, some experiments are not feasible…
How is microscopy used in spatial biology - Teaserimage

How is Microscopy Used in Spatial Biology? A Microscopy Guide

Different spatial biology methods in microscopy, such as multiplex imaging, are helping to better understand tissue landscapes. Learn more in this microscopy guide.
Protist Paramecium (Paramecium tetraurelia) stained to show the nucleus

3D Spatial Analysis Using Mica's AI-Enabled Microscopy Software

This video offers practical advice on the extraction of publication grade insights from microscopy images. Our special guest Luciano Lucas (Leica Microsystems) will illustrate how Mica’s AI-enabled…
Image of fixed U2OS cell expressing mEmerald-Tomm20 denoised using a 3D RCAN model trained with matching low and high SNR image pairs acquired on an iSIM system.

AI Microscopy Image Analysis – An Introduction

Artificial intelligence-guided microscopy image analysis and visualization is a powerful tool for data-driven scientific discovery. AI can help researchers tackle challenging imaging applications,…
Left-hand image: The distribution of immune cells (white) and blood vessels (pink) in white adipose tissue (image captured using the THUNDER Imager 3D Cell Culture). Right-hand image: The same image after automated analysis using Aivia, with each immune cell color-coded based on its distance to the nearest blood vessel. Image courtesy of Dr. Selina Keppler, Munich, Germany.

Accurately Analyze Fluorescent Widefield Images

The specificity of fluorescence microscopy allows researchers to accurately observe and analyze biological processes and structures quickly and easily, even when using thick or large samples. However,…

The AI-Powered Pixel Classifier

Achieving reproducible results manually requires expertise and is tedious work. But now there is a way to overcome these challenges by speeding up this analysis to extract the real value of the image…
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