Hi Patricia,

I used WEKA segmentation for your Cell2 image and it worked well. I suggest 
trying that. I had 3 classes, class 1 = spheroid, class 2 = shadow of the week 
and class 3 =  in between the wells (white area).

I've attached a PNG version of the classified image and the probability maps 
looked good.

If the spheroids become more dense (darker), you may have to have 2 separate 
classifiers but I think it's worth a try.

Kind regards,

Jacqui
Jacqueline Ross
Lead Technologist
Optical Microscopy & Image Analysis
Biomedical Imaging Research Unit (BIRU)
Faculty of Medical & Health Sciences
Waipapa Taumata Rau | The University of Auckland
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From: OBEID Patricia <[email protected]>
Sent: Monday, March 4, 2024 9:36 PM
To: [email protected]
Subject: help to segment spheroids
Sensitivity: Confidential

Hello,
I would like to segment spheroids that are in microcavities.
For the first cell, all is ok.
Here are a few lines from my macro:
run("Duplicate...", " ");
run("Invert LUT");
setAutoThreshold("Moments dark");
setOption("BlackBackground", true);
run("Convert to Mask");
run("Invert LUT");
run("Analyze Particles...", "size=6000-80000 display summarize add");

For the second cell, my problem is that I'm working in white light and the 
edges of the wells are also detected ....
One solution might be to do a threshold on the edges of the wells and the 
outside and remove these areas, then do a new threshold to detect spheroids, 
but I don't know how to write these lines of code ... :-(

Thanks for any help and/or suggestions you can give me.
Good day to all
Patricia

The images are here :
https://filesender.renater.fr/?s=download&token=f580e06e-6f9a-4e4b-8696-b99037472bdc<https://filesender.renater.fr/?s=download&token=f580e06e-6f9a-4e4b-8696-b99037472bdc>


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