Remove link to defunct binning docs

docs/source/tutorial-03-labelToolkit.rst

-.. _labelToolkitTutorial:
+.. _labelToolkitTutorial:
 
 ************************
 Tutorial: Label Toolkit 
@@ -13,7 +13,7 @@ Please download `M2EA05.zip` from `spam tutorial archive on zenodo`_.
 
 .. _spam tutorial archive on zenodo: https://doi.org/10.5281/zenodo.3888347
 
-To save time we will perform our analysis in a binning 2 version of *M2EA05* data by averaging 2×2×2 pixels together using spam’s binning function (please see here_ for more details).
+To save time we will perform our analysis in a binning 2 version of *M2EA05* data by averaging 2×2×2 pixels together using spam’s binning function.
 If you've followed the previous tutorials, we can load this data set in *iPython*::
 
     import tifffile
@@ -25,8 +25,6 @@ If you've followed the previous tutorials, we can load this data set in *iPython
     
     plt.imshow(grey[:, :, grey.shape[2]//2], cmap="Greys_r"); plt.show()
 
-.. _here: https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/tutorial-02-DIC.html#the-use-of-image-binning-see-also-correlation-length
-
 .. figure:: images/tutorial/03-labelToolkit/lab-A-vertSlice.png
     :align: center