In conclusion, our study demonstrates the ability of hyperspectral Raman data to yield highly informative falsecolor images and classification, when processed by a singlestep pixel-level global clustering analysis over the entire dataset. The potential of this approach extends beyond leukemia, providing a versatile tool to unravel complex spatial and molecular features in diverse cellular investigations, opening new avenues for impactful biomedical research.