Parameter Estimation for Evaporation-Driven Tear Film Thinning

Bull Math Biol. 2020 Jun 6;82(6):71. doi: 10.1007/s11538-020-00745-8.

Abstract

Many parameters affect tear film thickness and fluorescent intensity distributions over time; exact values or ranges for some are not well known. We conduct parameter estimation by fitting to fluorescent intensity data recorded from normal subjects' tear films. The fitting is done with thin film fluid dynamics models that are nonlinear partial differential equation models for the thickness, osmolarity and fluorescein concentration of the tear film for circular (spot) or linear (streak) tear film breakup. The corresponding fluorescent intensity is computed from the tear film thickness and fluorescein concentration. The least squares error between computed and experimental fluorescent intensity determines the parameters. The results vary across subjects and trials. The optimal values for variables that cannot be measured in vivo within tear film breakup often fall within accepted experimental ranges for related tear film dynamics; however, some instances suggest that a wider range of parameter values may be acceptable.

Keywords: Dry eye; Fluorescent imaging; Optimization; Tear film.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Computational Biology
  • Computer Simulation
  • Dry Eye Syndromes / diagnostic imaging
  • Dry Eye Syndromes / physiopathology
  • Fluorescein
  • Fluorescent Dyes
  • Fluorophotometry / methods
  • Fluorophotometry / statistics & numerical data
  • Humans
  • Hydrodynamics
  • Least-Squares Analysis
  • Mathematical Concepts
  • Models, Biological*
  • Nonlinear Dynamics
  • Osmolar Concentration
  • Tears / chemistry
  • Tears / diagnostic imaging
  • Tears / physiology*

Substances

  • Fluorescent Dyes
  • Fluorescein