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Parameter Estimation for Mixed-Mechanism Tear Film Thinning.

Authors :
Luke RA
Braun RJ
Driscoll TA
Awisi-Gyau D
Begley CG
Source :
Bulletin of mathematical biology [Bull Math Biol] 2021 Apr 09; Vol. 83 (5), pp. 56. Date of Electronic Publication: 2021 Apr 09.
Publication Year :
2021

Abstract

Etiologies of tear breakup include evaporation-driven, divergent flow-driven, and a combination of these two. A mathematical model incorporating evaporation and lipid-driven tangential flow is fit to fluorescence imaging data. The lipid-driven motion is hypothesized to be caused by localized excess lipid, or "globs." Tear breakup quantities such as evaporation rates and tangential flow rates cannot currently be directly measured during breakup. We determine such variables by fitting mathematical models for tear breakup and the computed fluorescent intensity to experimental intensity data gathered in vivo. Parameter estimation is conducted via least squares minimization of the difference between experimental data and computed answers using either the trust-region-reflective or Levenberg-Marquardt algorithm. Best-fit determination of tear breakup parameters supports the notion that evaporation and divergent tangential flow can cooperate to drive breakup. The resulting tear breakup is typically faster than purely evaporative cases. Many instances of tear breakup may have similar causes, which suggests that interpretation of experimental results may benefit from considering multiple mechanisms.

Details

Language :
English
ISSN :
1522-9602
Volume :
83
Issue :
5
Database :
MEDLINE
Journal :
Bulletin of mathematical biology
Publication Type :
Academic Journal
Accession number :
33835298
Full Text :
https://doi.org/10.1007/s11538-021-00871-x