By Johanna Maria Ticar
The grasp thesis of Johanna Maria Ticar unearths high-resolution insights into the myocardial microstructure and illustrates that cardiac muscle fibers are instantly, working in parallel with one most popular fiber path, although, deposits similar to fats appear to compromise the ordinary and compact constitution. moment harmonic iteration imaging mixed with optical tissue clearing is a correct strategy for opting for the three-d muscle fiber and sheet orientations and for that reason, permits the calculation of fiber rotation in the course of the ventricle wall.
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Extra resources for 3D Analysis of the Myocardial Microstructure: Determination of Fiber and Sheet Orientations
Beyond a depth of 550 μm the isotropy is the highest. 18: Intensity plot of the muscle ﬁber orientations of sample I c, which was rotated 90◦ around the x-axis prior to imaging, over a depth of 620 μm. The colours ranging from dark blue (0%) to dark red (100%) correspond to the relative amplitudes of the angles displayed on the x-axis. Red areas show the preferred ﬁber orientations and thus, a high density of ﬁbers in the indicated direction, while blue areas display orientations with a low ﬁber density.
2 Multi-photon microscopy 35 The sample illustrated in Fig. 6 was rotated around the x-axis before imaging in order to reveal the fact that not many ﬁbers run in the actual z-direction, but are rather organized in sheets. 4 μm. In both (a) and (b) the organization of ﬁbers in sheets is visible. 6: Volume rendering of optical sections obtained by SHG imaging. Previous to the actual imaging the sample was rotated 90◦ around the x-axis. (a) is an in-plane (xz) projection of the top of the volume-rendered sample.
MA, USA). Fiber orientations from two-dimensional images were extracted using a Fourier-based image analysis method in combination with wedge ﬁltering, both prevalent for the characterization of the collagen organization (Schrieﬂ et al. , 2012). Foremost, a window using a raised cosine function was applied to reduce the grey-scale values to zero at the image periphery in order to avoid any frequency-domain effects. A fast Fourier transformation (FFT), represented by the distribution function f (x, y), was applied to the windowed image.