In the previous tutorial we discussed how to load different levels of the image pyramid for Aperio SVS images in Matlab and how they corresponded.
In this tutorial we will extend upon that in 2 critical ways. First, we’d like to be able to load only small sub-sections from images (easy) and then extend upon that so we can identify regions at a low-magnification that we’d like to load the corresponding high-magnification version (harder).
Continue reading Working with Aperio SVS files in Matlab – Loading Sub-Sections
Aperio scanners generate a semi-proprietary file format called SVS. At its heart, SVS files are really a multi-page tiff file storing a pyramid of smaller tiff files of the original image. We’ll look at those here using a SVS file provided by the TCGA (http://cancergenome.nih.gov/) breast cancer cohort:
Continue reading Working with Aperio SVS files in Matlab – Introduction
I’m trying out the stain normalization toolbox provided by the Department of Computer Science over at Warwick . Be fair warned, it’s a windows only, matlab, toolbox.
Continue reading Stain Normalization for Histology Images