I have real data of various cellular components, and dispersion over time in various stress situations. I want to make an average 3d model per time in each stress using the data. I tried Virtual Cell and other softwares like that, but all are based on simulations and not on real data.
I propose this solution:
- Transform the models in point cloud;
- Regiter all models with respect to a reference (eg CAD model);
- Save the new point cloud;
- By using Matlab, import clouds of points and, for each point, evaluate the average.Regarding the points to consider in the average, this depends on how the models are; they may be the respective points or those closest to each point of the reference model
Should it be normal avergae or any special model to calculate. I dont know matlab yet, but i m sure i can find an equivalent code in php or javascript to calculate the same.
Luca Sir,
The problem with this approach is converting the 3d spacial data to point clouds array will take care only of position of mitochondria and not the size distribution.
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