DMT-Dens: Density-preserving manifold visualization for biological data
A better way to visualize rare cells without distorting the crowded ones
Scientists created DMT-Dens, a visualization tool that displays high-dimensional biological data while accurately preserving density patterns — keeping crowded regions visibly dense and sparse regions visibly sparse. Unlike existing methods, it prevents the visual distortion that can make rare or transitional cell states hard to spot or misinterpret their actual frequency in a sample.
Cell biologists rely on these visualizations to understand which cell types are common, which are rare, and which represent transitions between states — critical for discovering new cell populations and understanding disease progression. Distorted density patterns have led researchers to misidentify the prevalence of rare cells, potentially steering biological discovery in the wrong direction. DMT-Dens lets biologists see the true distribution of their samples, making it easier to catch genuinely rare events and understand the actual landscape of cell diversity.