Previously we looked at extracting annotations from Aperio Svs files. There are other image formats and annotation tools. Another commonly used tool in digital histology is ImageViewer, which makes it possible to view multi-page BigTiff image files.
Continue reading Extract Annotations From ImageViewer Bigtiff xml into Matlab →
There are often times when we want to see the boundaries of an annotation overlaid on an image for easier inspection. Using the ‘AlphaData’ layer in matlab this becomes extremely easy and efficient.
Continue reading Overlaying Binary Masks on Images in Matlab →
One of the main purposes of having a digital format is to allow experts (e.g., pathologists) to annotate certain structures in the images. Be it nuclei, epithelium/stroma regions, tumor/non-tumor tissue etc. This is easily done with ImageScope and SVS files, but the trick is importing them into Matlab.
Continue reading Working with Aperio SVS files in Matlab – Converting Annotations to Binary Masks →
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 →