Figure 2
From: MTrack: Automated Detection, Tracking, and Analysis of Dynamic Microtubules
Microtubule Seed Detection. (a) The default algorithm to identify microtubule seeds as objects is Maximally Stable Extremal Regions (MSER). 1. Microtubule seeds detected by MSER are marked by fitted red ellipses. 2. To determine the extact end point of each microtubule seed, a sum of 2D Gaussian model is fit to the major axis of the ellipsoid. FWHM (full width at half maximum) of the PSF (point spread function) is determined experimentally. 3. Detected end points are marked by green circles. (b) Detection accuracy of microtubule seeds with a close to 100% accuracy when the distance between seeds is larger than 5 pixels. Detection error is marked in yellow. (c) Subpixel accuracy of microtubule seed end point detection depends on SNR. Values correspond to detection errors in pixels.
