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NOTE: use Perl; is on undef hiatus. You can read content, but you can't post it. More info will be forthcoming forthcomingly.

All the Perl that's Practical to Extract and Report

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  • The results were surprising. The islands of high density are where I would expect them (where all the typing is, silly), but their contour really shows where I am putting a lot of characters close together, which, I contend, makes the program harder to read there, just like it is harder to read porportional fonts (at least I think so).

    This sounds very similar to some image analysis which I employed for a research thesis.

    The topic of my research was investigating differences in the vasculature of benign tumours, specifically, uterine leiomyoma, surrounding tissue and control samples through the use of immunohistochemistry. This investigation technique relies upon the action of antibody-specific reactions to generate insoluble immune complexes which can subsequently be demonstrated by enzymatic staining - This results in the staining and highlighting of specific areas of the fixed tissue sample - In the case of my research which employed vascular specific antigens, CD31, CD34, factor VIII related antigen and Ulex, the vasculature structure of the tissue was highlighted.

    Analysis of these stained sections involved the capture of images using a high-resolution digital camera attached to the viewing microscope. These images, with the tissue vasculature accentuated by the immunohistochemical staining, were then processed for evidence of statistically significant differences between the tissue groups. The criteria used in analysis included vascular density, proportional vascular density, vascular luminal diameter and, most interestingly, vascular distribution variability.

    It was the analysis of area of vascular distribution variability which presented the greatest challenge as a result of the cluster nature of stained image components in a similar manner to that which you describe for text components of a program source. Types of analyses which may be worth investigating for this project include average distance between text components, average proportional size of text components and/or scatterplot distributions. Unfortunately, the final solution to this statistical problem eluded me as time constraints required the finalisation of research work and submission of research thesis.

    I'll be interested to see how you get on with this project ...
    • Very interesting---I hadn't thought to look at things like distances and areas.

      Now it's looking like a GIS problem. I bet they have all sorts of nifty software to analyse this sort of stuff.

      I should be able to post some stuff next week.