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From cell lines to compound libraries, sample complexity is growing—and legacy tools just aren’t keeping up. In this video, we explore what leading R&D scientists need to consider when evaluating a new sample management system, especially in multimodal and high-throughput environments. If your team is juggling spreadsheets, siloed inventory tools, or systems that weren’t built with science in mind, you’re likely dealing with: Fragmented or missing sample lineage Manual inventory processes prone to error Workflow handoffs that break under pressure Limited visibility across teams or study phases We’ll walk through what “good” looks like in a modern sample management platform—including features like end-to-end traceability, experiment linking, real-time inventory, and flexible configuration that adapts to your science. Whether you're scaling a new modality, cleaning up after years of workaround processes, or evaluating your next digital transformation step, this video will help you define what your lab actually needs—and what to avoid. Learn more here: https://www.sapiosciences.com/solutio...