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Current methods to discern the differentiation state of stem cells are time-consuming, labor-intensive, costly, invasive, and consequently, ill-suited for clinical applications. To overcome these limitations, we propose to develop a microfluidic stem cell analyzer for accurate, non-invasive identification of the cell differentiation state in conjunction with automated cell sorting at high-throughp ...