Implementation of the autofocus method MAPFoSt. Publication: Binding J, Mikula S, Denk W. Low-dosage Maximum-A-Posteriori Focusing and Stigmation. Microsc Microanal. 2013
Project description
mapfost
mapfost is a python implementation of the autofocus method MAPFoST introduced in the publication Binding J, Mikula S, Denk W. Low-dosage Maximum-A-Posteriori Focusing and Stigmation. Microsc Microanal. 2013
Installation
Use the package manager pip to install mapfost
pip install mapfost
Usage
from src.mapfost import mapfost as mf
res = mf.est_aberr([test_im1, test_im2])
Example
run the script run_sample.py
python <PATH TO SRC>/src/example/run_sample.py
Expected output is a scipy.optimize.minimize object (as shown below).
The x key in the following object is the estimated aberration vector.
fun: -18822048750862.973
hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
jac: array([ 3906250.02374012, -5468749.9990838 , -1171875.00061682])
message: 'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'
nfev: 80
nit: 12
njev: 20
status: 0
success: True
x: array([2.11, 0.05, 0.16])
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