coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship耦合分析体外和组织学组织样本量化结构的关系.pdfVIP

coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship耦合分析体外和组织学组织样本量化结构的关系.pdf

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coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship耦合分析体外和组织学组织样本量化结构的关系

Coupled Analysis of In Vitro and Histology Tissue Samples to Quantify Structure-Function Relationship 1 2 ¨ 3 Evrim Acar , George E. Plopper , Bulent Yener * 1 Faculty of Life Sciences, University of Copenhagen, Frederiksberg C, Denmark, 2 Department of Biology, Rensselaer Polytechnic Institute, Troy, New York, United States of America, 3 Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York, United States of America Abstract The structure/function relationship is fundamental to our understanding of biological systems at all levels, and drives most, if not all, techniques for detecting, diagnosing, and treating disease. However, at the tissue level of biological complexity we encounter a gap in the structure/function relationship: having accumulated an extraordinary amount of detailed information about biological tissues at the cellular and subcellular level, we cannot assemble it in a way that explains the correspondingly complex biological functions these structures perform. To help close this information gap we define here several quantitative temperospatial features that link tissue structure to its corresponding biological function. Both histological images of human tissue samples and fluorescence images of three-dimensional cultures of human cells are used to compare the accuracy of in vitro culture models with their corresponding human tissues. To the best of our knowledge, there is no prior work on a quantitative comparison of histology and in vitro samples. Features are calculated from graph theoretical representations of tissue structures and the data are analyzed in the form of matrices and higher-order tensors using matrix and tensor factorization methods, with a goal of differentiating b

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