NYU Dataset
Histological image data used to induce a quantitative characterization of chronic tumor hypoxia in time and space
UID: 10280
- Description
- Researchers imaging data along with image-processing algorithms in order to develop a set of candidate image features that can be used to develop a quantitative description of xenografted colorectal chronic tumor hypoxia. These features were used to develop a spatiotemporal logical expression as well as a way to formulate a linear regression function that uses all of the image features to describe chronic hypoxia. 2 × 106 human colon cancer cells were injected into both flanks of nude mice. When the tumor volume reached ∼1500 mm3 (∼4 weeks post-injection), pimonidazole was administered via intraperitoneal injection. Ninety minutes after pimonidazole administration mice were euthanized, the tumors were excised and immediately fixed in formalin. Slides were then prepared from sections 10 μm apart, alternating between H&E and anti-pimonidazole stains.
Access
- Restrictions
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Free to All
- Instructions
- Data is freely available for download from the Dataverse repository.
- Other Resources
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Github
Matlab code
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