Tholins formed at 0.125 torr have threefold lower production rate but higher density and nanoindentation hardness than those at 1 torr, while particle size, morphology, surface energy, and Young's modulus remain similar.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 4representative citing papers
Phase-contrast microscopy detects threading dislocations with in-plane Burgers vectors in GaN and enables 3D visualization by focal plane adjustment, validated against multiphoton photoluminescence imaging.
GAN trained on paired data from independent wide-field and confocal microscopes improves image quality metrics (SSIM 0.94, PSNR 31.87) to support high-throughput workflows.
Agentic-J is a multi-agent AI assistant that converts natural language descriptions of biological image analysis tasks into executable, reproducible scripts for ImageJ/Fiji with specialised sub-agents for plugin management, code generation, debugging and reporting.
citing papers explorer
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Feeling the Pressure: Effects of Formation Pressure on the Physical Properties of Titan Haze Analogs
Tholins formed at 0.125 torr have threefold lower production rate but higher density and nanoindentation hardness than those at 1 torr, while particle size, morphology, surface energy, and Young's modulus remain similar.
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High-throughput, Non-Destructive, Three-Dimensional Imaging of GaN Threading Dislocations with in-Plane Burgers Vector Component via Phase-Contrast Microscopy
Phase-contrast microscopy detects threading dislocations with in-plane Burgers vectors in GaN and enables 3D visualization by focal plane adjustment, validated against multiphoton photoluminescence imaging.
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Deep Learning-Enabled Modality Transfer Between Independent Microscopes for High-Throughput Imaging
GAN trained on paired data from independent wide-field and confocal microscopes improves image quality metrics (SSIM 0.94, PSNR 31.87) to support high-throughput workflows.
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Agentic-J: An AI Agent for Biological Microscopy Image Analysis
Agentic-J is a multi-agent AI assistant that converts natural language descriptions of biological image analysis tasks into executable, reproducible scripts for ImageJ/Fiji with specialised sub-agents for plugin management, code generation, debugging and reporting.