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The complex structure of skin tissue can make the analysis of high-throughput data manually inconvenient and leads to inaccurate analysis and time consumption. Therefore, automated system that can segment and detect features which might provide critical information for interesting phenotype is required. User friendly graphical user interface GUI in MATLAB can provide facilities to create a tool to enhance, segment and analyse images without having expert skills in image processing, this can be used in the study of skin morphology phenotyping to find interesting morphological and metabolic phenotypes. Using image processing capability facilitates to develop a tool to analyse a range of different images in term of intensity and quality because of the variation in histology performed in different laboratory. Consequently, develop of automated high-throughput bioimaging tool is considered to be a very important topic in disease diagnosis and drug development. Significant assessment of the morphological features in H&amp;E skin section through the use of GUI MATLAB tool by quantifying all of epidermal and dermal thickness and number and size of adipocyte in subcutaneous. Using our developed tool, we were able to detect interesting epidermis, dermis and adipocyte phenotypes in mice skin sections. The Morphological Bio-imaging Tool provides facilities in the high-throughput analysis of H&amp;E skin section to understand genetic basis of diseases.

iop conference series. materials science and engineering

MATLAB image processing tool-based GUI for high-throughput image segmentation and analysis to study structure and morphology of skin H&amp;E stained sections