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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…
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.

人工智能显微图像分析-介绍

人工智能引领的显微图像分析和可视化是用于数据驱动型科学发现的一项强大工具。人工智能技术可以帮助研究人员应对具有挑战性的成像应用,让他们能够从图像中获取更多的信息。

包括成分分析在内的微观结构表征

Leica Microsystems的多功能正置复合显微镜DM6M配有激光诱导击穿光谱模块,不仅可以分析金相抛光样品,进行晶粒度分析和钢铁夹杂物评级,而且在同一系统上,同时获得关于小到20微米的化学成分的定性组成信息,而无需任何额外的样品制备并且无需将样品转移到电子显微镜。加入我们,看看这个系统的运作。
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