Paper
22 July 2003 Advanced tissue analysis using a combined histomorphometric and gene expression profiling method
Andres Kriete, Keith Boyce
Author Affiliations +
Abstract
We report on development of a new type of tissue analysis that facilitates a comprehensive method to characterize tissues and simultaneously identifies significant genes, based on the combination of different statistical approaches using co-variants such as quantitative microscopical tissue data. The introduction of tissue imaging into bioinformatics relies on a computer assisted histomorphometry, which enables tissue imaging to be executed in a fully automated, high-throughput fashion with quantitative analytical capabilities. As cells and tissues are centrally located in the biological hierarchy of function, improvements in the ability to obtain more quantitative information about tissue structure are critical to elucidate upstream functional effects of gene and protein expression. Furthermore, a detailed quantitative description of tissues may be expected to improve diagnosis and the understanding of structure and function of larger tissue constructs and organs in normal and disease states. Particular methods are described here that correlate gene expression to tissue structural data, essentially linking a bottom-up and top-down methodology important for improvement of diagnosis and discovery informatics.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andres Kriete and Keith Boyce "Advanced tissue analysis using a combined histomorphometric and gene expression profiling method", Proc. SPIE 4958, Advanced Biomedical and Clinical Diagnostic Systems, (22 July 2003); https://doi.org/10.1117/12.477875
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Tissues

Statistical analysis

Biological research

Liver

Profiling

Bioinformatics

Digital imaging

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