- From: Erich Bremer <erich.bremer@stonybrook.edu>
- Date: Tue, 3 Mar 2015 15:52:18 -0500
- To: public-gdw-comments@w3.org
- Message-ID: <CAGR3=--JV23+Z=zDctJQ-=ihb64znhViKYTRX=aNoAsB-sSGpQ@mail.gmail.com>
Studying the morphology of disease at the cellular and sub-cellular levels using high resolution tissue images is extremely important to help understand the nature of various cancers. The Cancer Genome Atlas (TCGA) ( http://cancergenome.nih.gov/) contains over 32,000 de-identified whole-slide microscopy images (WSI) of over two dozen cancer types. These images can contain between 100K-1M nuclei each. Biomedical informatics researcher have developed (and continue to develop) software to automatically segment nuclei for study. The spatial features of each nucleus and groups of nuclei as it relates to other nuclei combined with other linked data such as other morphological features (crypts, ducts, etc) and/or patient lab results are used in analyzing and categorizing tissues and patients into groups and in comparing such groupings to understand disease mechanisms in a particular cancer type as well as across cancer types. Representing nuclear segmentations is often done with binary masks or through polygon representations (e.g., the use of Well Known Text (WKT) representations) and also by leveraging work from the Geospatial community. However, in the case of nuclear segmentations, coordinate systems are 2D & 3D Cartesian based. Although the majority of work is this area is 2D-based, a growing segment of microscopy is also 3D-based as the technology develops and become more sophisticated. As living tissue can change over time through growth, infection, cancer, damage, etc, (as well as its associated organism’s various properties) it is important that spatial locations of features such as nuclear segmentation be also represented in a temporal aspect for proper comparisons. Samples of TCGA WSI data can be viewed at: http://cancer.digitalslidearchive.net -- ========================================================== Erich Bremer, M.Sc. Director for Cyberinfrastructure Health Sciences Division of Applied Informatics Stony Brook Medicine Tel. : 1-631-444-3560 Fax : 1-631-444-8873 Cell : 1-631-681-6228 erich.bremer@stonybrook.edu Office Location/Mailing Address HSC, L3: Room 119 Stony Brook, NY 11794-8330
Received on Tuesday, 3 March 2015 20:52:45 UTC