The Future of Digital Pathology: Optimizing Giemsa Stains for AI Scans
Digital pathology is rapidly transforming the way laboratories analyze and interpret biological samples. With the integration of artificial intelligence (AI) and high-resolution imaging systems, traditional microscopy is evolving into a data-driven, highly precise diagnostic approach. However, one critical factor remains at the core of accurate digital analysis: staining quality. Among the most widely used staining […]
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