Acknowledegments
================

.. _acknowledegments:


Celldetective uses many open-source projects in its building blocks that we would like to acknowledge here:

Deep-learning libraries
-----------------------

* `Tensorflow <https://www.tensorflow.org>`_
* `Keras <https://keras.io/>`_
* `StarDist <https://github.com/stardist/stardist>`_
* `Cellpose <https://www.cellpose.org/>`_

Tracking
--------

* `btrack <https://github.com/quantumjot/btrack>`_
* `trackpy <https://soft-matter.github.io/trackpy/v0.6.4/>`_


Data extraction
---------------

* `numpy <https://numpy.org/>`_
* `scipy <https://scipy.org/>`_
* `opencv <https://opencv.org/>`_
* `lmfit <https://lmfit.github.io/lmfit-py/>`_
* `scikit learn <https://scikit-learn.org/stable/>`_
* `mahotas <https://mahotas.readthedocs.io/en/latest/>`_
* `lifelines <https://lifelines.readthedocs.io/en/latest/>`_
* `cliffs_delta <https://github.com/neilernst/cliffsDelta>`_
* `pandas <https://pandas.pydata.org/>`_

Viewers
-------

* `napari <https://napari.org/stable/>`_
* `matplotlib <https://matplotlib.org/>`_
* `seaborn <https://seaborn.pydata.org/>`_

GUI
---

* `PyQt5 <https://www.riverbankcomputing.com/static/Docs/PyQt5/>`_
* `superqt <https://pyapp-kit.github.io/superqt/>`_

