.. Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project All rights reserved. This file is part of NeuroM Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. morph_stats: morphometric statistics extraction *********************************************** The ``morph_stats`` application extracts morphometrics from a set of neuron morphology files and produces a summary in JSON or CSV format. It may obtain any of the morphometrics available in the :py:func:`neurom.get` function, and is highly configurable, allowing the user to get raw or summary statistics from a large set of neurite and neuron features. The functionality can be best explained by looking at a sample configuration file: .. code-block:: yaml neurite: section_lengths: - max - total section_volumes: - total section_branch_orders: - max neurite_type: - AXON - APICAL_DENDRITE - BASAL_DENDRITE - ALL neuron: soma_radii: - mean Here, there are two feature categories, 1. ``neurite``: these are morphometrics obtained from neurites, e.g. branch orders, section lengths, bifurcation angles, path lengths. 2. ``neuron``: these are morphometrics that can be applied to a whole neuron, e.g. the soma radius, the trunk radii, etc. Each category sub-item (section_lengths, soma_radii, etc) corresponds to a :py:func:`neurom.get` feature, and each one of its sub-items corresponds to a statistic, e.g. * ``raw``: array of raw values * ``max``, ``min``, ``mean``, ``median``, ``std``: self-explanatory. * ``total``: sum of the raw values An additional field ``neurite_type`` specifies the neurite types into which the morphometrics are to be split. This is a sample output using the above configuration: .. code-block:: json { "some/path/morph.swc":{ "mean_soma_radius":0.17071067811865476, "axon":{ "total_section_length":207.87975220908129, "max_section_length":11.018460736176685, "max_section_branch_order":10, "total_section_volume":276.73857657289523 }, "all":{ "total_section_length":840.68521442251949, "max_section_length":11.758281556059444, "max_section_branch_order":10, "total_section_volume":1104.9077419665782 }, "apical_dendrite":{ "total_section_length":214.37304577550353, "max_section_length":11.758281556059444, "max_section_branch_order":10, "total_section_volume":271.9412385728449 }, "basal_dendrite":{ "total_section_length":418.43241643793476, "max_section_length":11.652508126101711, "max_section_branch_order":10, "total_section_volume":556.22792682083821 } } } For more information on the application and available options, invoke it with the ``--help`` or ``-h`` option. .. code-block:: bash morph_stats --help Features ******** .. runblock:: console $ morph_stats -l