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DM shape optimization
Nikita Vladimirov edited this page Feb 1, 2021
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DM is optimized via stochastic parallel gradient descent (SPGD) algorithm using a PSF quality metric in both views simultaneously. The following example shows how fluorescent bead images (PSFs) in the two views change over iterations.
Full source code is available at dm_optimization. The total run time of such optimization is 2-3 minutes, limited by the camera frame rate and speed of computations.