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+Quantitative Histology
+======================
+
+Context
+-------
+
+Tissue samples can contain significant information on the state of health of an individual, and their 
+interpretation can aid in the elucidation of mechanisms of degeneration of health. Commonly, a small sample of 
+images is captured from histological preparations, and these images are assessed by eye. This can be 
+prohibitatively slow at the population level, and human error can cause bias in the results. In addition, the 
+procurement of quantitative information allows the use of rigorous statistical methods which would otherwise 
+be unavailable to the analysis.
+
+This repository contains in-progress code for the structural analysis of histopathological slides of soay 
+sheep liver. Analyses occur on two levels of zoom in images. 
+
+Widefield : 2.0 x 3.0 mm
+------------------
+
+Representative of the general state of the tissue. This is wide enough to see a number of inflammatory foci 
+and a signficant amount of hepatic tissue.
+
+- Characteristic scale of sinusoids ( by Gabor filtering )
+- Directionality coefficient ( by Gabor filtering )
+- Information entropy at characteristic scale
+- Lacunarity at characteristic scale
+- Count of inflammatory foci
+- Approximate average size of inflammatory foci
+- Ratio of tissue to sinusoids ( a measure of tissue density )
+
+Narrowfield : 0.8 x 1.2 mm
+--------------------------
+
+Images are targetted at hepatic portal triads. 
+
+- Background and inflamed nuclear density
+- Count of nuclei ( watershed segmentation for overlapping nuclei )
+- Nuclear radial distribution function
+- Dimensions and areas of inflamed portal triads