Radon Transform for red blood cell velocity calculation
An automated method of quantifying particle velocity from line-scans is very useful for analyzing capillary-level blood flow data obtained with two-photon microscopy. The Radon transform method is an fast and robust method for obtaining velocity information from line-scan data.
Sample Matlab code that demonstrates the implementation of the Radon transform method is here
The Radon method is described in detail in:
Drew PJ, Blinder P, Cauwenberghs G, Shih AY, Kleinfeld D, Rapid determination of particle velocity from space-time line-scan data using the Radon transform, Journal of Computational Neuroscience, 29(1-2):5-11 pdf
Thresholding in Radon Space (TiRS) for vessel cross-sectional area
Two-photon imaging allows the measurement of size changes in penetrating arterioles and ascending venules. Since the cross-sectional shape of these vessels can changes, it is important not to use a only single diameter measurement along one axis. To avoid the large errors caused by using a single vessel diameter measurement, we developed the Thresholded in Radon Space algorithm.
Demo code is available here.
The TiRS method is described in detail here:
Gao YR, Drew PJ, Determination of vessel cross-sectional area by thresholding in Radon space, Journal of Cerebral Blood Flow Metabolism 34(7):1180-7, 2014 pdf