Hello,

I'm working with histolab's RandomTiler to extract some sample tiles from an image of a larger sample of tissue. I have successfully loaded my image (jpg format) into python using PIL and then initialise the image as a Slide object using Histolab's Slide class

I notice that when I use the default tissue_percent value (80%), all the tiles are aggregated on the top of the sample - this behaviour continues for high tissue_percent values as well (tissue_percent>50). To get random sampling throughout the entirety of my tissue sample, I need to supply very low tissue_percent values (tissue_percent<5%) to get uniform sampling throughout the tissue. I have included three screenshots - showing different tissue_percent values with check_tissue set to True to show the odd tiling patterns this is producing:

Example 1 - tissue_percent set to 80% with check_tissue set to True

Example 2 - tissue_percent set to 20% with check_tissue set to True

This result was unexpected but also anomalous. Because again the tiles are not being extracted throughout the entirety of the tissue ( which I get at extremely low tissue_percent values)

Example 3 - tissue_percent set to 1% with check_tissue set to True

I'm not sure why this is occurring, and why I need such low tissue_percent values to be supplied to the RandomTiler extractor to get tiles sampled throughout my whole image. If anyone has experienced this, or has a solution to this issue, please let me know. Any assistance is greatly appreciated.

Thank you for your time, efforts and consideration.