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Tear Film Evolution

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Tear Film Evolution. Katlyn Winter. URCM. George Mason University. Professor Daniel Anderson ... After each blink, a thin film covers the surface of the eye to prevent ... – PowerPoint PPT presentation

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Title: Tear Film Evolution


1
Tear Film Evolution
  • Katlyn Winter
  • URCM
  • George Mason University
  • Professor Daniel Anderson

2
Abstract
  • After each blink, a thin film covers the
    surface of the eye to prevent irritation of the
    eyelid rubbing on the eye. A condition called dry
    eye exists in which holes form in the film
    between blinks, resulting in irritation of the
    eye. Based off of research done by R. J. Braun
    and A. D. Fitt, the film is modeled using a
    series of partial differential equations. To
    begin, no outside effects such as evaporation or
    gravity were taken into account. A new
    evaporation model, based on the work of Ajaev and
    Homsy, will be incorporated into the thin film
    equation and examined in order to take these
    effects into account and to try to more closely
    approximate the films behavior. We shall make
    comparisons of the present model to the
    Braun-Fitt research.

3
Structure of Tear Film
  • Mucus layer Closest to the surface of the eye
    and helps the film stay on the eye
  • Aqueous layer Thickest layer washes away
    irritants (Layer we are modeling)
  • Lipid layer Furthest from surface of they eye.
    Slows evaporation of aqueous layer

Information and picture from Schepens Eye
Research Inistitute http//www.schepens.harvard.ed
u/dry_eye_fact_sheet.htm
4
Basic Problem
  • Immediately after a blink, tear film begins to
    evolve due to effects such as gravity and
    evaporation
  • Sometimes these effects cause holes in the film
    to form resulting in a condition known as dry eye
    syndrome
  • Computer simulation of the evolution may help
    researchers better understand which effects are
    more influential on the evolution of the tear film

5
Derivation(using a 2D thin film model)
  • u is the velocity in the horizontal direction of
    the film, v is the velocity in the vertical
    direction, and u is the total velocity (u,v)
  • Boundary conditions at y0 are u0 (no slip along
    surface) and v0 (no penetration of surface)
  • Equation 1 maintains the conservation of mass
  • Equation 2 is a form of Newtons second law ma
    F (the way it is shown here)
  • Equation 3 takes into heat equation

Equations from Dr. Andersons notes on tear
film evaporation
6
Set up
  • L is the 1/2 length of the eye lid, in this case
    arbitrarily set to 14, a scaled distance
  • h (x,t) is the thickness of the film, a function
    of space and time
  • Notice the surface of the eye is flat. This is
    due to assumptions made in lubrication theory.
    Since the film is so thin in comparison to the
    length of the eye surface we can assume the film
    acts as if the surface is flat

Image from Braun and Fitt paper Modeling
drainage of precornial tear film after a blink
7
Equation to Solve
  • Boundary conditions fix h at L and hxx at L
  • E/(Kh) is the evaporation term
  • d is a new term added since the Braun Fitt
    equation
  • On the right hand side of the equation, the G is
    the gravity term
  • The A terms are related to Van der Waals
    attraction
  • We are solving dh/dt using numerical
    approximation of a system of ODEs using Matlabs
    solver ODE23s

Equation from Dr. Andersons notes on tear film
evaporation
8
Results
  • The code just started working this week
  • Assumptions I turned off all the extra
    parameters, delta, A, etc., to ensure the code
    was working
  • Comparing to data from Braun and Fitt, it seems
    to have the correct basic shape
  • The colors are different time values
  • Red t1
  • Yellow t10
  • Green t25
  • Cyan t100

9
Side by Side Comparison
Similar, but one difference being that for Braun
Fitt data, 1,000s of points were used where as I
used 200
Graph on left obtained from data sent by Braun
10
Problems/Difficulties
  • One problem that came up was how to use a
    centered difference formula for the 3rd and 4th
    order derivative approximations. The solution
    that we used was based on the boundary condition
    that hxx was fixed on the end points, allowing us
    to create values for phantom points hN2 and
    h0. With these values, we then used a centered
    difference formula for all orders of the
    derivatives.

11
Next steps
  • Turn on and off different parameters to compare
    the effects
  • Read Ajaev and Homsy, Journal of Colloid and
    Interface Science and Ajaev, Journal of Fluid
    Mechanics as suggested by Dr. Anderson to
    understand better the new parameters that we
    introduced
  • Look into solving the porous surface model

12
Thank you!
  • Dr. Anderson
  • URCM
  • NSF
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