text: user2519: I scoured and searched the web for some implementation of digisome creation, but I had a hard time finding any good source code. 
  By digisomes, what I mean is images with chromosomal masks/borders that have been simulated. I am seeking this because I am trying to do a pixel level prediction on chromosomes using a deep network. And, I need ground truths with the chromosomes being illuminated. So ideally, I would like a binary image with just the chromosomes being illuminated.
  How exactly are digisomes generated? Is a single actual chromosome extracted from some metaphase image, then morphed in interesting ways, and finally, all the different morphs are stitched together in one big collage format so that it there are numerous chromosomes all seemingly different? 
  Also, if someone could point me to some good source code, that'd be helpful.
  
  user2519: I found a very nice github repo that simulates chromosomes and their labels for overlapping chromosomes - and with a little bit of tweaking, it can be amended for a variety of different simulations. 
  This was also used in a Kaggle post; so right up the alley for deep learning. 
  
original_text: 2519: <p>I scoured and searched the web for some implementation of digisome creation, but I had a hard time finding any good source code. </p>
  
  <p>By digisomes, what I mean is images with chromosomal masks/borders that have been simulated. I am seeking this because I am trying to do a pixel level prediction on chromosomes using a deep network. And, I need ground truths with the chromosomes being illuminated. So ideally, I would like a binary image with just the chromosomes being illuminated.</p>
  
  <p>How exactly are digisomes generated? Is a single actual chromosome extracted from some metaphase image, then morphed in interesting ways, and finally, all the different morphs are stitched together in one big collage format so that it there are numerous chromosomes all seemingly different? </p>
  
  <p>Also, if someone could point me to some good source code, that'd be helpful.</p>
   2519: <p>I found a very nice <a href="https://github.com/jeanpat/DeepFISH" rel="nofollow noreferrer">github repo</a> that simulates chromosomes and their labels for overlapping chromosomes - and with a little bit of tweaking, it can be amended for a variety of different simulations. </p>
  
  <p>This was also used in a Kaggle post; so right up the alley for deep learning. </p>
  