Soft Matter Research Laboratory

Here is some MATLAB code that lets you create the trajectories for 3D printing our model heart valve. Published in Science on 3/24/2023! You can find the code in the zipped folder here.To run the code in script form, run the master file called "heart_valve_maker.m", which calls the other scripts in the folder. To run the code using a MATLAB app, run the file called "heart_valve_designer_App.mlapp." Once you have the trajectories, you'll need to convert them to g-code if your printer requires it.

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We compute correlation functions all the time in our analysis. Sometimes we look for spatial correlations, sometimes we look for temporal correlations, and sometimes we look for spatio-temporal correlations. We've written some handy code that can take arrays of data (1,2 or 3 dimesions) and compute correlation functions along any number of the dimensions. Sample data and calling function are provided. Be careful... we use Fourier methods to avoid loops, so the code is fast but will eat up memory equally fast if your array is too big. You can find the code in the zipped folder here.

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Lab member Abigail De La Pena won 1st place in the Creativity in Art and Science Event (CASE) on January 22nd, 2012. The event is put on by the Howard Hughes Medical Institute / Science for Life Program. Abby and her colleague Jarrod Tresday took first place in the collaboration category, in which artists and scientists work together to communicate scientific results creatively. They created a multi-media presentation that included a movie of Abby's data, a life-sized levitating 3D model of her experiment, and a poster describing her results. The poster can be downloaded here.

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To explore collective cell migration on periodic surfaces we compute a spatial cross-correlation function between the substrate lattice points and the vorticity of the migration velocity field. A cross-correlation function is computed for each step in our time-lapse dataset, and the time-averaged properties of the cross-correlation function are studied. To compare the overall magnitude of fluctuations to their mean values in time, we calculate the ratio of the root-mean-square to the root-square-mean of the lattice-vorticity cross-correlation function. This calculation produces the striking results shown below.

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It'll be good stuff. We promse!

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