FARSIGHT Tutorials
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* [[FARSIGHT Tutorials/Quick Start | Quick Start for using Python-wrapped ITK (30 minutes)]] | * [[FARSIGHT Tutorials/Quick Start | Quick Start for using Python-wrapped ITK (30 minutes)]] | ||
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+ | The following page shows you how to handle multi-channel image data: | ||
* [[FARSIGHT Tutorials/Multi-Component Images | Multi-Component Images (30 minutes)]] | * [[FARSIGHT Tutorials/Multi-Component Images | Multi-Component Images (30 minutes)]] | ||
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+ | The following page shows you the steps in analyzing the 5-channel image to cytovascular map example on the home page: | ||
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* [[FARSIGHT Tutorials/5-Label | 5-Label Example - Image to Objects]] | * [[FARSIGHT Tutorials/5-Label | 5-Label Example - Image to Objects]] |
Revision as of 13:43, 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.
The following page shows you how to handle multi-channel image data:
The following page shows you the steps in analyzing the 5-channel image to cytovascular map example on the home page: