Science Lab
Science Lab
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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…
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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,…
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Using Machine Learning in Microscopy Image Analysis
Recent exciting advances in microscopy technologies have led to exponential growth in quality and quantity of image data captured in biomedical research. However, analyzing large and increasingly…
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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…
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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…
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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…
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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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Analyzing Non-metallic Inclusions in Steel
Oftentimes we find ourselves caught up in tedious analyses by reticle and comparison chart, time-consuming double-evaluation according to several standards or subjective inspection results with a bias…