diff --git a/doc/source/install.txt b/doc/source/install.txt
index b704cca4..2c10febb 100644
--- a/doc/source/install.txt
+++ b/doc/source/install.txt
@@ -1,72 +1,52 @@
 Installing scikit-image
------------------------
-If you are on Mac OS X you're lucky, open the terminal and install
-scikit-image with pip::
+=======================
+
+Standard Python installation
+----------------------------
+
+From the shell, execute::
 
   pip install scikit-image
 
+Conda-based distributions (Anaconda, Miniconda)
+-----------------------------------------------
 
-For Python 3 use pip3 instead::
-
-  pip3 install scikit-image
-
-
-For other systems, please read on.
-
-
-Linux, Mac and Windows
-----------------------
-An easy light weight method to get scikit-image installed on all of the most
-popular operating systems is by using miniconda_. Go over and grab the
-appropriate miniconda_ version for your operating system and install it. When
-you have miniconda_ installed, open a terminal and install scikit-image
-with conda::
+From the shell/command prompt, execute::
 
   conda install scikit-image
 
-
-If you prefer *not* using miniconda, find instructions for your operating
-system below.
-
-
 Windows
 -------
-Scikit-image comes with the Python distributions Anaconda_,
-`Enthought Canopy`_, `Python(x,y)`_, and `WinPython`_. 
-If you install any of them, scikit-image should already be installed.
+``scikit-image`` comes pre-installed with several Python
+distributions, including Anaconda_, `Enthought Canopy`_,
+`Python(x,y)`_ and `WinPython`.
 
 .. _Anaconda: https://store.continuum.io/cshop/anaconda/
 .. _Enthought Canopy: https://www.enthought.com/products/canopy/
 .. _Python(x,y): http://code.google.com/p/pythonxy/wiki/Welcome
 .. _WinPython: https://winpython.github.io/
 
+If you are using the distribution from python.org_, you'll need to
+manually download a few packages: numpy, scipy and scikit-image from
+`Christoph Gohlke's`_ website. Python wheels are installed using::
 
-If you prefer the regular Python distribution from python.org_, you can
-install scikit-image manually by downloading packages. You will need numpy_,
-scipy_ and the scikit-image package. You can find the packages in `Christoph
-Gohlke's`_ web page with compiled Python packages. Here is the direct link to
-the `scipy section`_, `numpy section`_ and `scikit-image section`_. Make sure
-you download the right version for your system. E.g. numpy for Python 3.4 64
-bit would be ``numpy-1.9.2+mkl-cp34-none-win_amd64.whl``.
+  pip install SomePackage-1.0-py2.py3-none-any.whl
 
-To install Gohlke's packages, use pip::
+Debian and Ubuntu
+-----------------
+On Debian and Ubuntu install scikit-image with::
 
-  pip install wheel
-  pip install --find-links Downloads scikit-image
+  sudo apt-get install python-skimage
 
-Here ``--find-links Downloads`` means that pip will look for packages in the
-folder named `Downloads`. Make sure that is where you saved the packages from
-Gohlke.
+Building from source
+--------------------
 
-As you see, installing scikit-image with pip requires some extra manual labor,
-so using a Python distribution is recommended on Windows.
-
-If you have a brave soul, you can also install scikit-image on Windows by
-compiling it from source::
+Execute the following command from the shell::
 
   pip install scikit-image
 
-
+Windows
+```````
 If you experience the error ``Error:unable to find vcvarsall.bat`` it means that
 distutils is not correctly configured to use the C compiler. Modify (or create,
 if not existing) the configuration file ``distutils.cfg`` (located for
@@ -76,82 +56,47 @@ example at ``C:\Python26\Lib\distutils\distutils.cfg``) to contain::
     compiler=mingw32
 
 For more details on compiling in Windows, there is a lot of knowledge iterated
-into the `setup of appveyor`_ (a continious integration service).
+into the `setup of appveyor`_ (a continuous integration service).
 
 .. _miniconda: http://conda.pydata.org/miniconda.html
 .. _python.org: http://python.org/
-.. _numpy: http://www.numpy.org/
-.. _scipy: http://www.scipy.org/
 .. _Christoph Gohlke's: http://www.lfd.uci.edu/~gohlke/pythonlibs/
-.. _numpy section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
-.. _scipy section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy
-.. _scikit-image section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-image
 .. _setup of appveyor: https://github.com/scikit-image/scikit-image/blob/master/appveyor.yml
 
-
 Debian and Ubuntu
------------------
-On Debian and Ubuntu install scikit-image with::
-
-  sudo apt-get install python-skimage
-
-
-Or if you use Python 3::
-
-  sudo apt-get install python3-skimage
-
-
-On Ubuntu scikit-image is found in the `universe repo`_, and python-skimage can
-also be found in the `Neurodebian repository`_. For using the repository
-follow the `Neurodebian instructions`_ to add Neurodebian to your system 
-package manager.
-
-Ubuntu 14.04 LTS ships with version 0.9.3 of scikit-image, so if you need an
-up-to-date version you must compile scikit-image yourself. First install the
-dependencies::
+`````````````````
+If your distribution ships an outdated version, you may recompile from
+source.  First install the dependencies::
 
   sudo apt-get install python-matplotlib python-numpy python-pil python-scipy
 
-
-or for Python 3::
-
-  sudo apt-get install python3-matplotlib python3-numpy python3-pil python3-scipy
-
-
 Get compilers::
 
   sudo apt-get install build-essential cython
 
-
-Compile and install the latest stable version of scikit-image::
-
-  pip install scikit-image
+Then run the pip installation command.
 
 
-.. _universe repo: https://help.ubuntu.com/community/Repositories/Ubuntu
-.. _Neurodebian repository: http://neuro.debian.net/
-.. _Neurodebian instructions: http://neuro.debian.net/#how-to-use-this-repository
+Running the development version
+-------------------------------
 
+Obtain the source from the git repository at
+``http://github.com/scikit-image/scikit-image`` by running::
 
-Other Unixes
-------------
-Install binary packages of cython, matplotlib, numpy, pillow and scipy if they
-are available in your operating system's package manager. Make sure you have
-a C and C++ compilers. Then install scikit-image with pip::
+  git clone https://github.com/scikit-image/scikit-image.git
 
-  pip install scikit-image
+After unpacking, change into the source directory and execute:
 
+  pip install -e .
 
-Upgrading
----------
-You can upgrade scikit-image by::
+To update::
 
-  pip install --upgrade --no-deps scikit-image
-  pip install scikit-image # installs new dependencies, if changed
+  git pull  # Grab latest source
+  python setup.py build_ext -i  # Compile any modified extensions
 
 
 Building with bento
--------------------
+```````````````````
 
 ``scikit-image`` can also be built using `bento
 <http://cournape.github.io/Bento/>`__.  Bento depends on `WAF
@@ -169,31 +114,9 @@ From the ``scikit-image`` source directory::
 
     bentomaker configure
     bentomaker build -j     # (add -i for in-place build)
-    bentomaker install      # (when not builing in-place)
+    bentomaker install      # (when not building in-place)
 
 Depending on file permissions, the install commands may need to be run as
 sudo.
 
-
-Install bleeding edge development version
------------------------------------------
-
-Obtain the source from the git-repository at
-http://github.com/scikit-image/scikit-image by running::
-
-  git clone http://github.com/scikit-image/scikit-image
-
-If you do not have git installed on your machine, you can also download a
-zipball from https://github.com/scikit-image/scikit-image/zipball/master.
-
-The scikit can be installed using::
-
-  pip install .
-
-If you prefer, you can use a link instead by compiling extensions in-place::
-
-  python setup.py build_ext -i
-  pip install -e .
-
-
 .. include:: ../../DEPENDS.txt