Cilia-on-a-Chip: High-Throughput Functional Readout of Brain Ciliary Flow for Hydrocephalus Drug Discovery
This is an integrated tissue-harvest, fluorescence-imaging, and image-analysis system that measures how well the cilia lining the brain’s ventricles drive fluid flow. It turns ciliary beating into quantitative, physics-based flow metrics that can be run at scale to support drug discovery for hydrocephalus and other ciliary disorders.
Description
Unmet Need - Existing cilia-analysis tools measure the structure of cilia or track particles, but do not provide explainable, physics-based measures of ependymal ciliary function at the throughput that drug discovery and diagnostics require.The system begins with a method for harvesting periventricular brain tissue so that the ventricular cilia keep beating. Fluorescent beads are added to the ciliary surface, and the cilia-driven bead movement is recorded in real time with high-speed fluorescence video microscopy. Many short videos can be captured across the ventricle wall and stitched into a whole-ventricle flow map.
A custom image-processing algorithm then detects each bead and tracks its movement. It uses particle image velocimetry (PIV), which converts bead motion into dense flow-vector fields, and from these computes physics-based metrics such as flow velocity and angular momentum. This links the bead movement patterns to the underlying ciliary function. The automated bead segmentation was checked against manual ground-truth segmentation using Dice score comparison.
Applications
- High-throughput in vitro screening of drug candidates that target ciliary function- Preclinical research tools for hydrocephalus and other ciliary or CSF-flow disorders
- Functional phenotyping of genetic and injury-based animal models (for example, mitochondrial dysfunction or traumatic brain injury models)
- Contract research and service offerings for ciliary and CSF-dynamics analysis
- A basis for future diagnostic assays of ciliary function
Advantages
- Directly measures ciliary function rather than only cilia structure or shape- Produces dense flow fields and physics-based metrics (velocity, angular momentum) with a clear biological interpretation
- Preserves live ciliary beating in harvested ventricular tissue
- Automated detection and tracking of beads, validated against manual segmentation
- Designed for high-throughput use, with whole-ventricle flow maps built from many imaging fields