wiggins-lab / SuperSegger

A completely automated MATLAB-based trainable image cell segmentation, fluorescence quantification and analysis suite, particularly well suited for high-throughput time lapse fluorescence microscopy of in vivo bacterial cells.
GNU General Public License v3.0
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Add more images to the Training Data #37

Open wjohnsonTufts opened 3 years ago

wjohnsonTufts commented 3 years ago

Hi there,

I am trying to use superSegger to segment images of cells that were grown in multiple different media. Therefore, I would like to train a constants file using many different images, some from each media. Is there a way to load multiple images into the trainingGui? Specifically, is it possible for me to add more frames from different images here (see below) and then train the segments and regions?

Thank you in advance!

-Will

Screen Shot 2020-12-07 at 3 54 27 PM