I have recently found a paper describing that the percentage area error of a polygon inscribed within a circle can be calculated using the following formula.
The output of the algorithm is a set of $N$ $(x,y)$ points. These $N$ points are connected to form a polygon that approximates the cell membrane. An estimation of the error introduced from this representation can be calculated by comparing a perfectly circular cell membrane to a regular $N$-sided inscribed polygon. The percentage area error due to this underestimation is given as a function of $N$: $$\text{Error} = 1 - \frac{N}{\pi}\;\sin\frac{\pi}{N}\;\cos\frac{\pi}{N} = 1 - \frac{N}{2\pi}\;\sin\frac{2\pi}{N}$$
My question is: How would I construct a similar formula for a polygon inscribed into an ellipse?
I am struggling to figure this out, and it would explain certain differences in the elliptically-shaped I am measuring in my experiment. (we can make an assumption that the cells are perfectly elliptical).
I have no mathematical background, so please be considerate :)
PAPER: http://onlinelibrary.wiley.com/enhanced/doi/10.1046/j.0022-2720.2001.00976.x
Any ellipse is mapped into a circle by some dilation $\psi$, and any dilation preserves ratios between areas, so the two problems are the same: apply $\psi$, solve the problem in the circle, apply $\psi^{-1}$.
So we have that the convex envelope of $n\geq 3$ points in a ellipse has an area bounded by $$ \frac{n}{2\pi}\,\sin\frac{2\pi}{n} $$ times the area of the ellipse, i.e. $\pi a b$, with $a$ and $b$ being the lengths of the semi-axis.