Warning:  The EBRAINS Lab will be down today from 21:00 CEST (my timezone)  for ~10 minutes for an update


Last modified by annedevismes on 2021/06/08 11:56
From version 18.1
edited by puchades
on 2020/09/24 12:16
Change comment: There is no comment for this version
To version 12.1
edited by evanhancock
on 2020/07/21 09:38
Change comment: There is no comment for this version

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1 1  == [[image:ilastik_logo.PNG||style="float:right"]] ==
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3 -== [[image:Pixel_classification workflow.png||style="float:left"]](% style="color:#c0392b" %)Analysis approach for series of rodent brain section image(%%) ==
3 +== (% style="color:#c0392b" %)Analysis approach for series of rodent brain section image(%%) ==
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5 5  Ilastik is a versatile image analysis tool specifically designed for the classification, segmentation and analysis of biological images based on supervised machine learning algorithms.
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7 -There are two main approaches for the analysis of rodent brain section image
7 +There are two main approaches for the analysis of rodent brain section images.
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9 9  1. Pixel classification only (with two or more classes)
10 10  1. Pixel classification with two classes (//immunoreactivity// and //background//), followed by object classification with two classes (//objects of interest// and //artefact//).
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24 24  * Export the probability maps in HDF5 format, and simple_segmentation images in PNG format with the default settings.
25 25  * Review the results.
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45 45  === (% style="color:#c0392b" %)Object classification workflow(%%) ===
46 46  
47 47  There are three options on the ilastik start up page for running Object Classification.  Choose the //Object Classification with Raw Data and Pixel Prediction Maps as input//**.**
Pixel_classification workflow.png
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