Entropy-based measures of in vivo cilia-driven microfluidic mixing derived from quantitative optical imaging

Kenny Chandrasekera; Stephan Jonas; Dipankan Bhattacharya; Mustafa Khokha; Michael A. Choma

doi:10.1117/12.906428

9 February 2012 Entropy-based measures of in vivo cilia-driven microfluidic mixing derived from quantitative optical imaging

Kenny Chandrasekera, Stephan Jonas, Dipankan Bhattacharya, Mustafa Khokha, Michael A. Choma

Author Affiliations +

Proceedings Volume 8207, Photonic Therapeutics and Diagnostics VIII; 82073K (2012) https://doi.org/10.1117/12.906428
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

Motile cilia are cellular organelles that project from different epithelial surfaces including respiratory epithelium. They generate directional fluid flow that removes harmful pathogens and particulate matter from the respiratory system. While it has been known that primary ciliary dyskinesia increases the risk of recurrent pulmonary infections, there is now heightened interest in understanding the role that cilia play in a wide-variety of respiratory diseases. Different optical imaging technologies are being investigated to visualize cilia-driven fluid flow, and quantitative image analysis is used to generate measures of ciliary performance. Here, we demonstrate the quantification of in vivo cilia-driven microfluidic mixing using spatial and temporal measures of Shannon information entropy. Using videomicroscopy, we imaged in vivo cilia-driven fluid flow generated by the epidermis of the Xenopus tropicalis embryo. Flow was seeded with either dyes or microparticles. Both spatial and temporal measures of entropy show significant levels of mixing, with maximum entropy measures of ~6.5 (out of a possible range of 0 to 8). Spatial entropy measures showed localization of mixing "hot-spots" and "cold-spots" and temporal measures showed mixing throughout.In sum, entropy-based measures of microfluidic mixing can characterize in vivo cilia-driven fluid flow and hold the potential for better characterization of ciliary dysfunction.

Citation Download Citation

Kenny Chandrasekera, Stephan Jonas, Dipankan Bhattacharya, Mustafa Khokha, and Michael A. Choma "Entropy-based measures of in vivo cilia-driven microfluidic mixing derived from quantitative optical imaging", Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82073K (9 February 2012); https://doi.org/10.1117/12.906428

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available