Last modified by annedevismes on 2021/06/08 11:56

From version 7.1
edited by sharoncy
on 2020/03/28 14:59
Change comment: There is no comment for this version
To version 9.3
edited by puchades
on 2020/04/07 16:42
Change comment: There is no comment for this version

Summary

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1 -XWiki.sharoncy
1 +XWiki.puchades
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1 1  == [[image:ilastik_logo.PNG||style="float:right"]] ==
2 2  
3 -
4 -(% class="wikigeneratedid" %)
5 5  == (% style="color:#c0392b" %)Analysis approach for series of rodent brain section image(%%) ==
6 6  
7 7  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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25 25  
26 26  -Apply the classifier to the rest of the images (batch processing)
27 27  
28 --Export the probability maps in HDH5 format, and simple_segmentation images in PNG format with the default settings.
26 +-Export the probability maps in HDF5 format, and simple_segmentation images in PNG format with the default settings.
29 29  
30 30  -Review the results.
31 31  
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35 35  
36 36  -Save the object classification file in the same folder as the raw images for analysis.  If the images are moved after the ilastik file is created, the link between the ilastik file and the images may be lost, resulting in a corrupted file.
37 37  
38 --In the **Input Data** applet, upload the original images and their respective probability maps in HDH5 format (output from the Pixel Classification).
36 +-In the **Input Data** applet, upload the original images and their respective probability maps in HDF5 format (output from the Pixel Classification).
39 39  
40 40  -Train the classifier with two classes (labelling and artefacts)
41 41