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AI Confluency Analysis for Enhanced Precision in 2D Cell Culture
This article explains how efficient, precise confluency assessment of 2D cell culture can be done with artificial intelligence (AI). Assessing confluency, the percentage of surface area covered,…
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AI-Powered Multiplexed Image Analysis to Explore Colon Adenocarcinoma
In this application note, we demonstrate a spatial biology workflow via an AI-powered multiplexed image analysis-based exploration of the tumor immune microenvironment in colon adenocarcinoma.
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A Meta-cancer Analysis of the Tumor Spatial Microenvironment
Learn how clustering analysis of Cell DIVE datasets in Aivia can be used to understand tissue-specific and pan-cancer mechanisms of cancer progression
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Mapping the Landscape of Colorectal Adenocarcinoma with Imaging and AI
Discover deep insights in colon adenocarcinoma and other immuno-oncology realms through the potent combination of multiplexed imaging of Cell DIVE and Aivia AI-based image analysis
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Spatial Architecture of Tumor and Immune Cells in Tumor Tissues
Dig deep into the spatial biology of cancer progression and mouse immune-oncology in this poster, and learn how tumor metabolism can effect immune cell function.
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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…
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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.
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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.
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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…