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Optimizing Samples for RNA Sequencing

Reliable RNA sequencing data starts with quality single-cell isolation approaches.

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Single-cell sequencing is widely used in basic, applied, and translational research. The high sensitivity of scRNA seq requires careful processing of cells to reduce sequencing noise and data variability. Factors such as poor viability, cellular heterogeneity, and target cell abundance influence sample preparation for RNA sequencing.

Download this white paper from Sony to learn how sample optimization influences the quality of single-cell RNA sequencing results.