.. Nornir documentation master file, created by sphinx-quickstart on Wed Dec 18 12:02:16 2013. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. .. figure:: Registered_YGE_ShadingCorrected_Thumb.png :scale: 100% Welcome to Nornir's documentation! ================================== Nornir's takes large sets of overlapping images in 2D and produces registered (a.k.a. aligned) 2D and 3D volumes of any size and scale. The github repository for Nornir lives at `http://github.com/nornir/`_ Contents -------- .. toctree:: :maxdepth: 1 Overview Installation Usage Packages Version History Known Issues and Future Work TroubleShooting Glossary and Background About History ------- Nornir evolved from a collaboration between the `Marc Lab`_ and the `Scientific Computing Institute's`_ Tasdizen and Whitaker groups at the University of Utah. The original tools, known as the `NCR Toolset`_ were used to construct `RC1`_, a 250um diameter, 33um tall cylinder of rabbit retina at a resoultion of 2.18 nm/pixel. Nornir is a work in progress. It currently supports importing images from transmission electron microscopes running SerialEM (.idoc files), light microscopes running Surveyor (.pmg files), and other volumes represented with a single image per section (.png files). System requirements ------------------- * 64-bit operating system, only tested on Windows at this time * 2GB of RAM per CPU core. Related Tools ------------- Volume images frequently exceed the reasonable sizes for single images. `Viking`_ is another Marc lab tool for viewing and annotating huge datasets. Nornir produces volumes that can be viewed using Viking if placed on a web server. Analysis of the annotations created by Viking for our existing rabbit connectome and future connectomes is performed by the `py-connectome-analysis`_ package Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` .. _http://github.com/nornir/: http://github.com/nornir/ .. _rc1: http://www.ncbi.nlm.nih.gov/pubmed/21311605/ .. _marc lab: http://prometheus.med.utah.edu/~marclab/marclab_09_science-papers.html/ .. _ncr toolset: http://www.ucnia.org/download/ncrtoolset/ .. _scientific computing institute's: http://www.ucnia.org/ .. _Viking: http://connectomes.utah.edu/ .. _py-connectome-analysis: https://github.com/jamesra/py-connectome-analysis/wiki