FARSIGHT Tutorials

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* [[FARSIGHT Tutorials/Building Software | Building Cmake, Python, CableSwig and ITK (for developers)]]
 
* [[FARSIGHT Tutorials/Building Software | Building Cmake, Python, CableSwig and ITK (for developers)]]
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The following tutorial shows you how to install Python-wrapped ITK quickly.
 
The following tutorial shows you how to install Python-wrapped ITK quickly.
  
 
* [[FARSIGHT Tutorials/Just Installing Software | Just Installing Python-wraped ITK (for impatient users)]]
 
* [[FARSIGHT Tutorials/Just Installing Software | Just Installing Python-wraped ITK (for impatient users)]]
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The following page shows you how to use Python-wrapped (or native Python) modules.
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* [[FARSIGHT Tutorials/Quick Start | Quick Start for using Python-wrapped ITK  (30 minutes)]]
  
  
* [[FARSIGHT Tutorials/Quick Start | Quick Start for users of ITK (30 minutes)]]
 
 
* [[FARSIGHT Tutorials/Multi-Component Images | Multi-Component Images (30 minutes)]]
 
* [[FARSIGHT Tutorials/Multi-Component Images | Multi-Component Images (30 minutes)]]
 
* [[FARSIGHT Tutorials/5-Label | 5-Label Example - Image to Objects]]
 
* [[FARSIGHT Tutorials/5-Label | 5-Label Example - Image to Objects]]

Revision as of 11:12, 30 June 2009

The following tutorials are a work in progress and not complete

We use the Python language for writing scripts that tie together various segmentation and analysis modules for a given application.


Basic users can keep their image data and metadata in file folders. More advanced users would benefit from storing their data in an image database. We use the OMERO database developed by the open microscopy environment community.

Most users would prefer to just download and use pre-compiled versions of FARSIGHT. If you prefer to build it yourself, here is the process (takes a while).

The following pages describe procedures for Installing CMake, Python, CableSwig, and ITK on your computer


The following tutorial shows you how to install Python-wrapped ITK quickly.

The following page shows you how to use Python-wrapped (or native Python) modules.


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