AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Automated Deep Learning Protocol for Quantifying Cell Viability in Live/Dead Fluorescence Microscopy.
A step-by-step protocol for automated cell viability quantification from two-channel live/dead fluorescence images using a deep learning pipeline built on a U-Net architecture with a ResNet-50 encoder pretrained on ImageNet, providing a reproducible framework adaptable to diverse cell types and imaging platforms.