Fitting

In this context, fitting means adjusting model parameters to obtain the best possible fit between the simulations and experimental data.

This can be done by fitting:

• in the time domain
  • matching simulations and experimental traces plotted against time
• pCa curves
  • matching simulations and experimental data plotted as a function of activating Ca²⁺ concentration
• in the frequency domain
  • matching Nyquist plots showing elastic and viscous moduli as a function of frequency

General strategy

The general strategy in pseudo-code is as follows:

define a starting_model
set the working_model equal to the starting_model
while (fit_is_not_good_enough)
{    
    run a simulation using the working_model
    evaluate fit by comparing the simulation to a target 
    adjust the working_model by tweaking the parameters
}

Optimization structure

Fitting in MATMyoSim is performed using an Optimization structure

Table of contents

• Time domain 1
• pCa single curve
• pCa curves for 2 conditions
• pCa curves for 2 lengths
• pCa curves for length x condition
• pCa curves for two by two conditions