diff --git a/README.rst b/README.rst
index 0f458fd..3dbdceb 100644
--- a/README.rst
+++ b/README.rst
@@ -50,18 +50,69 @@ slmsuite to convert phases into grey levels.
 Status
 ++++++
 
-Tested against the simulated SLM of slmsuite only (``pytest``). The Meadowlark and Holoeye actuators have not been
-validated on real devices yet.
-
-
-BeamShaping algorithm
-=====================
-
-With ``pip install pymodaq_plugins_slmsuite[beamshaping]`` the ``slmsuite Hologram`` algorithm is added to the
-BeamShaping extension of ``pymodaq_plugins_beam_shaping`` (found through the ``pymodaq_plugins_beam_shaping.algorithms``
-entry point). It computes the phase mask with ``slmsuite.holography.algorithms.Hologram``, with the methods GS,
-WGS-Leonardo, WGS-Kim, WGS-Nogrette, WGS-Wu and WGS-tanh. The GPU is used if ``cupy`` is installed.
-The conjugate gradient method is not exposed yet.
+The simulated SLM of slmsuite is tested automatically (``pytest``). The Meadowlark and Holoeye actuators have been
+validated on real devices by the maintainer.
+
+
+BeamShaping algorithms
+======================
+
+The BeamShaping extension of ``pymodaq_plugins_beam_shaping`` computes the phase (or amplitude) mask to display on the
+SLM with an *algorithm* chosen in its interface. The algorithms are discovered at startup: the ones of
+``pymodaq_plugins_beam_shaping`` itself (*Gerchberg-Saxton*, *Projections*, *Direct*, *Diffractive*, *Minimize*,
+*TorchOptim*, ...) and the ones that other installed packages declare in the ``pymodaq_plugins_beam_shaping.algorithms``
+entry point. This plugin declares one of them, so that the slmsuite algorithms can be used next to the others, on the
+same input beam and target, and sent to any of the actuators above (or to the Holoeye or mock *Shaper* actuators).
+
+Installation and use
+++++++++++++++++++++
+
+* ``pip install pymodaq_plugins_slmsuite[beamshaping]`` installs ``pymodaq_plugins_beam_shaping`` together with this
+  plugin. Without this extra, the actuators work but the algorithm is not available.
+* In the Dashboard, name the SLM actuator ``Shaper`` (the extension sends the mask to the actuator of this name) and
+  start the BeamShaping extension.
+* Choose the algorithm in the algorithm settings of the extension: ``slmsuite Hologram`` appears in the list with the
+  others. Switching from one algorithm to another keeps the same input beam and target, so the results can be compared
+  directly (output plots, loss/stopping criteria of the extension).
+* The extension reads the number of pixels, the pixel size and whether the SLM has an internal calibration from the
+  ``Shaper`` actuator itself (the ``shaper_geometry`` and ``shaper_properties`` settings groups defined in
+  ``pymodaq_plugins_utils``), which these actuators fill when initialized.
+
+``slmsuite Hologram`` algorithm
++++++++++++++++++++++++++++++++
+
+It computes the phase with ``slmsuite.holography.algorithms.Hologram.optimize``, in the Fourier plane of a lens (the
+same setup as the *Gerchberg-Saxton* algorithm of BeamShaping): the amplitude of the input beam is the nearfield
+amplitude and the target amplitude is the farfield one. It is iterative: each step runs ``Iterations per step``
+iterations of the chosen ``Method`` and keeps the state of the optimization (weights, fixed farfield phase for WGS-Kim)
+from step to step. Changing the input beam, the target or the initial phase restarts the optimization.
+
+========================  ==================================================  ==============================================
+Method                    Reference                                           Specific settings
+========================  ==================================================  ==============================================
+GS                        Gerchberg-Saxton                                    none
+WGS-Leonardo              https://doi.org/10.1364/OE.15.001913                ``Feedback exponent`` (0.8)
+WGS-Kim                   https://doi.org/10.1364/OL.44.003178                ``Feedback exponent`` (0.8),
+                                                                              ``Fix phase at iteration`` (10)
+WGS-Nogrette              https://doi.org/10.1103/PhysRevX.4.021034           ``Feedback factor`` (0.1)
+WGS-Wu                    https://doi.org/10.1364/OE.413723                   ``Feedback exponent`` (0.5)
+WGS-tanh                  weights updated with a hyperbolic tangent           ``Feedback factor`` (0.2),
+                                                                              ``Feedback exponent`` (0.5)
+========================  ==================================================  ==============================================
+
+The values in parentheses are the defaults of slmsuite, restored when the method is changed. The weighted (WGS)
+methods give a more uniform intensity on a set of spots or regions than GS. The GPU is used if ``cupy`` is installed.
+The conjugate gradient method of slmsuite is not exposed yet. See the documentation of slmsuite
+(``Hologram.optimize``) for the details of the parameters.
+
+Adding your own algorithm
++++++++++++++++++++++++++
+
+Any package can add algorithms to the extension: write a subclass of
+``pymodaq_plugins_beam_shaping.algorithms.AlgoBase`` decorated with
+``@AlgorithmFactory.register_algorithm()`` (see ``pymodaq_plugins_slmsuite/algorithms/slmsuite_hologram.py`` for a
+complete example) and declare the module that holds it in the ``pymodaq_plugins_beam_shaping.algorithms`` entry point
+of its ``pyproject.toml``. For this plugin the entry point is added in ``hatch_build.py``.
 
 
 Installation instructions