Despite its benefits, single cell analysis faces several challenges. One major issue is managing the vast amount of data generated, which requires sophisticated bioinformatics tools for analysis and interpretation. Additionally, preserving the viability and integrity of cells during isolation is critical to obtaining accurate results. Variability in sample preparation and the risk of technical biases also pose significant hurdles.
