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Methods, plots and numerical results for Chouaib et al. (2020)

License: BSD 3-Clause "New" or "Revised" License

Python 72.97% Jupyter Notebook 26.80% Shell 0.23%

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paper_translation_factories_2020's Issues

3D Gaussian Fitting

Thank you for publishing this great work, it really speaks to increasing effort to make science reproducible!

RE: fit_gaussian_3d, is there an example use-case available for this function? I'm interested in testing this out.

  1. Specifically, the grid parameter generates an array to store an estimated 3D Gaussian (which is compared to the true data, image_spot). But the dimensions of the grid parameter - a 2D array of shape (3, V_z * V_y * V_x) is unfamiliar to me (why not a 3D array of size (V_z, V_y, V_x) as generated by np.mgrid()?

  2. What is the order of parameters p0 - is it mu_z, mu_y, mu_x, sigma_z, sigma_yx, psf_background?

Thank you!

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