Ciliafy - A Motion Assessment Framework for Primary Ciliary Dyskinesia Diagnosis

Overview

Our lungs are kept healthy by hair-like structures called cilia, found in our nasal passages, that act as brooms, sweeping bacteria out of our lungs. Primary Ciliary Dyskinesia (PCD) is a disease where cilia are impaired. This can cause harmful mucus to build up, leading to severe respiratory complications. Current diagnostic methods either rely heavily on subjective assessment, or focus only on how fast cilia move, making the disease notoriously difficult to diagnose. My project introduces a system that provides an efficient way to detect problems with cilia. I analyzed high-speed videos and using computer vision, I tracked each individual cilium to calculate its motion patterns, in addition to its speed. I found that in sick patients, cilia often move slower and have irregular patterns as compared to healthy patients. My system clearly distinguishes between healthy and unhealthy samples, providing a solution for accurate diagnosis that prevents delayed treatment.

Awards (1)

• Selected for CWSF 2026

Competition history

• CWSF 2026 Disease & Illness

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