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Coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship
Evrim Acar1, George E Plopper, Bülent Yener
1Faculty of Life Sciences, University of Copenhagen, Frederiksberg C, Denmark.
Plos One
|April 6, 2012
Summary
This study introduces quantitative temperospatial features to bridge the gap between tissue structure and function. These novel methods accurately differentiate between healthy and cancerous tissues and compare in vitro models to native human tissues.
Area of Science:
- Biomedical Engineering
- Computational Biology
- Pathology
Background:
- The structure/function relationship is crucial in biology, yet a gap exists at the tissue level.
- Detailed cellular and subcellular data do not fully explain complex tissue functions.
- Current methods lack quantitative links between tissue structure and biological function.
Purpose of the Study:
- To define quantitative temperospatial features linking tissue structure to biological function.
- To close the information gap in understanding tissue-level structure/function relationships.
- To quantitatively compare in vitro cell culture models with native human tissues.
Main Methods:
- Utilized histological and fluorescence images of human tissue and cell culture samples.
- Calculated features from graph theoretical representations of tissue structures.
- Analyzed data using matrix and tensor factorization methods.
Main Results:
- Developed quantitative features to link tissue structure and biological function.
- Successfully differentiated between cancerous and healthy states in brain, breast, and bone tissues.
- Demonstrated the ability to distinguish native tissues from their in vitro engineered cell culture models.
Conclusions:
- The defined quantitative temperospatial features provide a novel approach to understanding tissue structure/function.
- This method offers a reliable way to assess the accuracy of in vitro models.
- The findings have implications for disease detection, diagnosis, and treatment development.
