Update docs/examples/droplet_fusion/droplet_fusion.rst

Co-authored-by: Joep Vanlier <JoepVanlier@users.noreply.github.com>

docs/examples/droplet_fusion/droplet_fusion.rst

@@ -110,7 +110,7 @@ The array :math:`popt` contains all the fitted parameters::
     [ 0.04754597  5.39347958 -4.5188036  -6.2716303 ]
 
 The first parameter in :math:`popt` is :math:`𝜏` and the other 3 parameters are :math:`a`, :math:`b` and :math:`c` respectively, as defined in the model above.
-The matrix :math:`pcov` is the covariance matrix and the standard deviation errors in the fitted parameters can be obtained as 
+The matrix :math:`pcov` is the covariance matrix and the standard deviation errors in the fitted parameters can be obtained as:: 
 
     >>>> np.sqrt(np.diag(pcov))