.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/hello_wfs.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_hello_wfs.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_hello_wfs.py:


Hello wavefront shaping
===============================================
This script demonstrates how to use OpenWFS to perform a simple
wavefront shaping experiment. To run this script, you need to have
a GenICam-compatible camera connected to your computer,
and a spatial light modulator (SLM) connected to the secondary
video output.

.. GENERATED FROM PYTHON SOURCE LINES 10-34

.. code-block:: Python


    import numpy as np

    from openwfs.algorithms import StepwiseSequential
    from openwfs.devices import SLM, Camera
    from openwfs.processors import SingleRoi

    # Display the SLM patterns on the secondary monitor
    slm = SLM(monitor_id=2)

    # Connect to a GenICam camera, average pixels to get feedback signal
    camera = Camera(R"C:\Program Files\Basler\pylon 7\Runtime\x64\ProducerU3V.cti")
    feedback = SingleRoi(camera, pos=(320, 320), mask_type="disk", radius=2.5)

    # Run the algorithm
    alg = StepwiseSequential(feedback=feedback, slm=slm, n_x=10, n_y=10, phase_steps=4)
    result = alg.execute()

    # Measure intensity with flat and shaped wavefronts
    slm.set_phases(0)
    before = feedback.read()
    slm.set_phases(-np.angle(result.t))
    after = feedback.read()
    print(f"Intensity in the target increased from  {before} to {after}")


.. _sphx_glr_download_auto_examples_hello_wfs.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: hello_wfs.ipynb <hello_wfs.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: hello_wfs.py <hello_wfs.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: hello_wfs.zip <hello_wfs.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_