<i>Cilia.io:</i> Computer vision and machine learning reveal spatial patterns of cilia beating dynamics in the spinal cord.

ABSTRACT: Motile cilia coordinate fluid flows that are essential for normal tissue physiology and function. Cilia display diverse beating waveforms, and while pronounced defects are strongly associated with motile ciliopathies, more subtle alterations may also influence disease manifestations^1-3. Finer quantification of ciliary dynamics is critical for a full understanding of cilia-associated disorders, but the heterogeneity of cilia beating dynamics makes accurate and robust characterization challenging. Because existing tools have proven to be limiting in noisy in vivo environments^4-6, we developed Cilia.io, a machine learning (ML)-based quantification tool that uses state-of-the-art vision transformers to segment cilia out of the background based on their biolo

SUBMITTER: Atayeter E 

PROVIDER: S-EPMC12710753 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature