The evolution of digital pathology necessitates that laboratories prioritize image quality during the scanning process over post-scan optimization. Compromising on quality not only extends turnaround times but also sows skepticism among pathologists regarding the efficacy of digital solutions. By leveraging advancements like edge computing, real-time volumetric imaging, and AI algorithms, labs can enhance diagnostic accuracy, streamline workflows, and minimize manual rescan rates. This strategy positions organizations for a more efficient and future-proof digital pathology landscape.
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