http://imagej.273.s1.nabble.com/Performing-manual-segmentation-tp5005745p5005782.html
> Hi Kevin,
>
> You could take advantage of the recent possibility to assign properties to
> ROIs in ImageJ 1.48h.
>
> I put together a simple test macro that does this. You can get it at:
>
https://gist.github.com/mutterer/7758228#file-roiclassestest-ijm> and adapt it to your needs. It just assigns a custom property and a stroke
> color to the active ROI, and pushes it to the ROI manager. Then you can
> select ROIs by keyword, which could be a starting point for your manual
> segmentation analysis.
>
> I recorded a small video about how to use it at:
>
http://youtu.be/RlhG23xPEbg>
> Sincerely,
> Jerome
>
>
>
> On 30 November 2013 14:22, Kevin Keraudren <
[hidden email]
>> wrote:
>> Hi,
>>
>> I would like to manually segment a few cell images in order to evaluate an
>> automated segmentation (for instance trace the cell boundaries and the
>> contour of the nuclei).
>>
>> I usually do manual segmentations with ITK-snap on medical images, not
>> microscopy images, but I think it is overkill for PNG/TIFF images, and not
>> appropriate to handle classes: I would like to have the cytoplasm and the
>> nuclei classes, and assign labels of the form cytoplasm-1, cytoplasm-2,
>> cytoplasm-3,... and nuclei-1, nuclei-2, nuclei-3.
>> For my application, I would have more classes than just cytoplasm and
>> nuclei.
>>
>> Could I use ImageJ for this? Otherwise would you know of an appropriate
>> program for this kind of manual segmentation. In my mind it would be a tool
>> that allow you to segment the image with layers, as the layers of Photoshop
>> or GIMP, and each layer would correspond to a class.
>>
>> Thanks a lot for your help,
>>
>> Kind regards,
>>
>> Kevin
>>
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