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# make training/test data on smaller field of view (FoV) from a set of experimental data on a large FoV

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Assignment

Goal: make training/test data on smaller field of view (FoV) from a set of experimental data on a large FoV.

Input:

•5-dimensional matrix ‘g’of size [X, Y, Z, Nthe, Nphi], for example, for the U2OS Action data set, g is of the size [512, 512, 53, 3, 5].

•Cropping window size [outX, outY, outZ], for example, we want to crop the data into [128, 128, 16, 3, 5].

• Stride value [Sx, Sy, Sz]: howmany pixels one should slide the window, for example, we want to slide the cropping window every 32 pixels in X and Y directions, and 4 pixels in Z direction. Output:

• [1+floor((X –outX)/Sx)]x[1+floor((Y –outY)/Sy)]x[1+floor((Z –outZ)/Sz)] sets of 5-dimensional matrices ‘Gout’ of the size [outX, outY, outZ]. For the U2OS actin data set, it will be (1+floor((512-128)/32))*(1+floor((512-128)/32))*(1+floor((53-16)/4)) = 1690 sets of 5-dimensional matrices of the size [128, 128, 16, 3, 5].

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