  Holotomography, a three-dimensional quantitative phase imaging technique,
presents an innovative, non-invasive approach to studying biological samples by
exploiting the refractive index as an intrinsic imaging contrast. Despite
offering label-free quantitative imaging capabilities, its potential in cell
biology research has been stifled due to limitations in molecular specificity
and axial resolution. Here, we propose and experimentally validate a solution
to overcome these constraints by capitalizing on the intrinsic dynamic
movements of subcellular organelles and biological molecules within living
cells. Our findings elucidate that leveraging such sample motions enhances
axial resolution. Furthermore, we demonstrate that the extraction of
uncorrelated dynamic signals from refractive index distributions unveils a
trove of previously unexplored dynamic imaging data. This enriched dataset
paves the way for fresh insights into cellular morphologic dynamics and the
metabolic shifts occurring in response to external stimuli. This promising
development could broaden the utility of holotomography in cell biology.
