Chronic kidney damage is routinely assessed semiquantitatively by scoring the amount of
fibrosis and tubular atrophy in a renal biopsy sample. Although image digitization and
morphometric techniques can better quantify the extent of histologic damage, we need more
widely applicable ways to stratify kidney disease severity.
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deepPath's PixelView image viewing and annotation software supports whole slide images and all OpenSlide formats in addition to several other standard image formats.
It's intuitive and easy to use interface can handle gigabyte size images without compromising on user experience. It is interactive, fast, and powerful for annotating high resolution digital pathology images.Request More Info
Whole slide images
Whole slide images (WSI) continue to gain traction among pathologists for diagnostic, educational, and research purposes. PixelView supports extremely large, high quality images without compromising on the ease of use.
PixelView supports a wide variety of OpenSlide formats such as Aperio (.svs, .tif), Hamamatsu (.vms, .vmu, .ndpi), , and Generic tiled TIFF (.tif) among many others. We are also constantly adding more formats on an ongoing basis.
Freehand, ellipse, rectangle, and other fundamental annotation tools are readily available out of the box for annotating virtual slides. Annotations can be differentiated by color coding and tagging. They can be used for training new machine learning models.
Image quality metrics such as BRISQUE and entropy can be obtained on demand for the whole image or part of an image. This plays a significant role in quantitatively determining an image's quality.