A Simple Method for Imaging and Quantifying Respiratory Cilia Motility in Mouse Models

Francis, Richard (2025) A Simple Method for Imaging and Quantifying Respiratory Cilia Motility in Mouse Models. Methods and Protocols, 8 (5). 113.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (15MB) | Preview
View at Publisher Website: https://doi.org/10.3390/mps8050113
 
1


Abstract

A straightforward ex vivo approach has been developed and refined to enable high-resolution imaging and quantitative assessment of motile cilia function in mouse airway epithelial tissue, allowing critical insights into cilia motility and cilia generated flow using different mouse models or following different sample treatments. In this method, freshly excised mouse trachea is cut longitudinally through the trachealis muscle which is then sandwiched between glass coverslips within a thin silicon gasket. By orienting the tissue along its longitudinal axis, the natural curling of the trachealis muscle helps maintain the sample in a configuration optimal for imaging along the full tracheal length. High-speed video microscopy, utilizing differential interference contrast (DIC) optics and a fast digital camera capturing at >200 frames per second is then used to record ciliary motion. This enables detailed measurement of both cilia beat frequency (CBF) and waveform characteristics. The application of 1 µm microspheres to the bathing media during imaging allows for additional analysis of fluid flow generated by ciliary activity. The entire procedure typically takes around 40 min to complete per animal: ~30 min for tissue harvest and sample mounting, then ~10 min for imaging samples and acquiring data.

Item ID: 89956
Item Type: Article (Research - C1)
ISSN: 2409-9279
Keywords: cilia beat frequency, cilia generated flow, ciliated airway epithelia
Copyright Information: © 2025 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/).
Date Deposited: 31 Jul 2026 07:04
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3299 Other biomedical and clinical sciences > 329999 Other biomedical and clinical sciences not elsewhere classified @ 100%
SEO Codes: 20 HEALTH > 2001 Clinical health > 200105 Treatment of human diseases and conditions @ 100%
Downloads: Total: 1
Last 12 Months: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page