Xwave echo 6 manual pdf12/20/2023 By transmitting cross-propagating plane-waves, we minimize cumulative nonlinear interaction effects due to collinear wave propagation, while generating a transient wave-amplitude modulation at the two plane-waves’ intersection. The xAM method derives from counter-propagating wave interaction theory which predicts that, in media exhibiting quadratic elastic nonlinearity like biological tissue, the nonlinear interaction of counter-propagating acoustic waves is inefficient. To address this issue, we present an imaging paradigm, cross-amplitude modulation (xAM), which relies on cross-propagating plane-wave transmissions of finite aperture X-waves to achieve quasi artifact-free in vivo imaging of GVs. Unfortunately, the in vivo specificity of AM ultrasound imaging is systematically compromised by the nonlinearity added by the GVs to propagating waves, resulting in strong image artifacts from linear scatterers downstream of GV inclusions. We previously engineered GVs exhibiting a nonlinear scattering behavior in response to acoustic pressures above 300 kPa, and showed that amplitude-modulated (AM) ultrasound pulse sequences that both excite the linear and nonlinear GV scattering regimes were highly effective at distinguishing GVs from linear scatterers like soft biological tissues. Acoustical methods for the in vivo detection of GVs are now required to maximize the impact of this technology in biology and medicine. The expression of these unique air-filled proteins, known as gas vesicles (GVs), in cells allows ultrasound to image cellular functions such as gene expression in vivo, providing ultrasound with its analog of optical fluorescent proteins. Recently, this capability was enhanced with the development of acoustic biomolecules – proteins with physical properties enabling them to scatter sound. If you are not sure how to accomplish the above feel free to send me an experiment with the relevant data and I'd help.The basic physics of sound waves enables ultrasound to visualize biological tissues with high spatial and temporal resolution. You can find (and modify) that value by choosing Axis Range from Gizmo menu. Since cylinders are drawing objects (not data objects) their scale is such that a cylinder of height 1 extends half the global delta-z of the plot. Now return to the scatter dialog and set scale1 as the Marker Size Wave. Now assign the delta-z values by modifying the scaling of the third column of the wave. For example, if your scatter triplet was in tripletWave1 use: Open the scatter object properties and select Fixed Shape -> Object and from the Object menu select cylinder0.Ĭreate a scale wave that has the same number of rows as your scatter data. Set the cylinder radii to a small value, e.g., 0.01 and leave the default height. If your error bars have only delta-z variation you can, for example, choose a cylinder object as a marker. Next use the same triplet waves to create scatter objects that will be used to add error bars as markers at each data point. You would then add these to Gizmo as Path objects and obtain the basic curves. In order to display this in Gizmo you need to start by creating a triplet wave for each one of your curves. I have tried gizmo scattered plots, but I cant add the error bars to each point. I was wondering what is the "best" way to deal with this issue. I want to generate a 3D plot for this 5 curves as is displayed in the attached curve. Total I have x and y wave, fitwave, and error bars waves. I have five 2D plots each consisting of several points with an error associated to them in addition of a curve fit, specified as a separate wave each. I have a related question while trying to generate a 3D plot. If this does not help I suggest you send an IGOR experiment containing sample data to Inc. You can still provide an easy projection onto the XY plane (at minimum z) by duplicating your triplet wave and setting the third column to the minimum z value. There is really no meaning to a contour plot in this context (simply because one of your parameters is an fake index). Now plot the triplets as scatter in Gizmo. For example, suppose you have multiple XY pairs of waves: xwave_i and ywave_i (where i is an integer index) then, create a set of triplet waves triplet_i with: If you just have multiple XY sets of data, there is nothing that keeps you from converting them to triplet waves. The plots do however depict true 3-axis variation, something that is not apparent from your description of your data as an XY set. The plots you referenced are closer to what you would generate with Gizmo which brings me back to my earlier suggestion. Wide-Angle Neutron Spin Echo Spectroscopy.
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