Systematic bioinformatics analysis of whole slide images reveals significant neighborhood preferences of tumor cells in Hodgkin lymphoma

ABSTRACT: In pathology, tissue images are mainly evaluated using a light microscope, relying on the expertise and experience of pathologists. There is a great demand on computational methods to quantify and standardize histological observations. Thus, computational quantification methods become more and more essential to evaluate tissue images. In particular, the distribution of tumor cells is of special interest. Here, we systematically investigated tumor cell properties and their spatial neighborhood relations by a new application of statistical analysis to whole slide images of Hodgkin lymphoma, a special tumor arising in lymph nodes, and inflammation of lymph nodes called lymphadenitis. We considered properties of more than 400; 000 immuno-histochemically stained, CD30-positive cells in 35 whole

SUBMITTER: Jörg Ackermann 

PROVIDER: S-BSST228 | biostudies-other |

REPOSITORIES: biostudies-other