Traditional bulk analysis methods average out signals from large populations of cells, masking the cellular heterogeneity that can be crucial for understanding disease mechanisms and therapeutic responses. Single cell analysis allows for the detection of rare cell populations, provides a more accurate representation of the cellular landscape, and enhances our understanding of cellular mechanisms and pathogenesis.
