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Simple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution

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simple_sim_fusion_demo

Simple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution. To run the code yourself, download sim_fusion.py and np_tif.py, put them in the same directory, and execute them in a Python 3 environment that includes Numpy and Scipy. To see the results of running the code, scroll down.

Given a 2D x-z object:

True density

Illuminated with a series of 2D x-z intensity patterns like this:

Illumination

And blurred with a 2D x-z PSF like this:

Point spread function

Yielding simulated data like this:

Measurement

We process this simulated data into an estimate of the true density (truth is in red, estimate is in green):

Estimate vs. truth

Via iterative Richardson-Lucy deconvolution:

Iterative convergence

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Simple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution

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