Characterizing morphology of high endothelial venules in canine lymph nodes

Name: Duncan Russell
Affiliation: College of Veterinary Medicine, Oregon State University
Phone: 541-737-3146
E-mail: duncan.russell@oregonstate.edu
Website:
Knowledge Required: Basic understanding of microscopic evaluation of tissue
Image analysis
Software design
Motivation: We would eventually like to perform automated image analysis on a large number (100-200) of tumor bearing samples (lymph nodes and primary tumors).
Description: High endothelial venules (HEVs) are specialized blood vessels that are partially responsible for lymphocyte movement during an acquired immune response. In patients with cancer, there is evidence that these vessels change in number/shape (morphology; ie. vessel density, vessel diameter, vessel lumenal area) in regional lymph nodes shortly prior to, or after, tumor metastases. Our group is aiming to quantify HEV morphology in a variety of canine lymph nodes that are reactive (ie. non-tumor bearing), pre-metastatic, and metastatic. We label HEVs by immunohistochemistry using a brown chromogen against a hematoxylin (blue) stained tissue backgound.
Objectives: To create automated software that quantifies HEV morphology in a microscope slide image at 2x (or possibly 4x) magnification. Specific morphologic features we aim to quantify are: mean number of HEVs for area of tissue, mean cross sectional lumen area, what percentage of HEVs have lumens greater than a given area, and thickness of vessel walls
Deliverables: Automated software that quantifies HEV morphology in a microscope slide image at 2x (or possibly 4x) magnification. Specific morphologic features we aim to quantify are: mean number of HEVs for area of tissue, mean cross sectional lumen area, what percentage of HEVs have lumens greater than a given area, and thickness of vessel walls
Other comments: Pilot images emailed to Kevin McGrath. [insert link to images here]

At the moment I only have a small number of pilot slides/images and have held off staining large number of slides until image analysis technique is defined.

   D. Kevin McGrath
   Last modified: Fri Oct 20 09:31:13 2017