From ae7da3ab76ba93604c0c74b7cb5f7670c619490c Mon Sep 17 00:00:00 2001 From: Joshua Steer <joshua.w.steer@gmail.com> Date: Mon, 10 Sep 2018 07:00:04 +0100 Subject: [PATCH] Updated READEME on docs index --- docs/index.rst | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index 2214042..d971ec8 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -6,13 +6,9 @@ AmpScan ======= -AmpScan is a Python package that provides matrix manipulation tools specifically for -the design of prosthetic sockets. It provides functions for handling common design workflows -such as importing, aligning and registering meshes. AmpScan relies heavily on `NumPy`_ and -`SciPy`_ to perform mathematical operations with vizualisation handled by `PyQt`_ and `VTK`_. -The package is still under active development by researchers at the University of Southampton -- this documentation should be considered the 'go-to' for anyone interested in using or -developing AmpScan. +AmpScan is an open-source Python package for analysis and visualisation of digitised surface scan data, specifically for applications within Prosthetics and Orthotics. These industries are increasingly using surface scanners as part of clinical practice to capture the patient's individual geometry to design personalised devices. AmpScan gives researchers within this field access to powerful tools to analyse the collected scans to help inform clinical practice towards improved patient-outcomes. This package has been designed to be accessible for researchers with only a limited knowledge of Python. Therefore, analysis procedures can all be accessed using the lightweight Graphical User Interface. + +AmpScan relies heavily on [NumPy](http://www.numpy.org/) and [SciPy](https://www.scipy.org/) to perform mathematical operations with visualisation handled by [PyQt](https://riverbankcomputing.com/software/pyqt/intro) and [VTK](https://www.vtk.org/). The package is still under development by researchers at the University of Southampton. For full documentation, visit the [AmpScan website](https://ampscan.readthedocs.io/en/latest/). .. _numpy: http://www.numpy.org/ .. _SciPy: https://www.scipy.org/ -- GitLab