mapfost 4.3.1

Implementation of the autofocus method MAPFoSt. Publication: Binding J, Mikula S, Denk W. Low-dosage Maximum-A-Posteriori Focusing and Stigmation. Microsc Microanal. 2013

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

import mapfost as mf

res = mf.est_aberr([test_im1, test_im2])

Example

run the script run_sample.py

mf.test_installation()

Expected output is a scipy.optimize.minimize object (as shown below).
The x key in the following object is the estimated aberration vector.

 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
      jac: array([ 195312.50118701, -195312.50118701,  390624.9980372 ])
  message: 'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'
     nfev: 24
      nit: 5
     njev: 6
   status: 0
  success: True
        x: array([-1.10622, -1.31151,  0.58894])
...Installation Test Successful...
[-1.10622 -1.31151  0.58894]

License

MIT