BackgroundTexture within biological specimens may reveal critical insights, while being very difficult to quantify. This is a particular problem in histological analysis. For example, cross-polar images of picrosirius stained skin reveal exquisite structure, allowing changes in the basketweave conformation of healthy collagen to be assessed. Existing techniques measure gross pathological changes, such as fibrosis, but are not sufficiently sensitive to detect more subtle and progressive pathological changes in the dermis, such as those seen in ageing. Moreover, screening methods for cutaneous therapeutics require accurate, unsupervised and high-throughput image analysis techniques.ResultsBy analyzing spectra of images post Gabor filtering and Fast Fourier Transform, we were able to measure subtle changes in collagen fibre orientation intractable to existing techniques. We detected the progressive loss of collagen basketweave structure in a series of chronologically aged skin samples, as well as in skin derived from a model of type 2 diabetes mellitus.ConclusionsWe describe a novel bioimaging approach with implications for the evaluation of pathology in a broader range of biological situations.

Increased adipocyte size and number are associated with many of the adverse effects observed in metabolic disease states. While methods to quantify such changes in the adipocyte are of scientific and clinical interest, manual methods to determine adipocyte size are both laborious and intractable to large scale investigations. Moreover, existing computational methods are not fully automated. We, therefore, developed a novel automatic method to provide accurate measurements of the cross-sectional area of adipocytes in histological sections, allowing rapid high-throughput quantification of fat cell size and number. Photomicrographs of H&E-stained paraffin sections of murine gonadal adipose were transformed using standard image processing/analysis algorithms to reduce background and enhance edge-detection. This allowed the isolation of individual adipocytes from which their area could be calculated. Performance was compared with manual measurements made from the same images, in which adipocyte area was calculated from estimates of the major and minor axes of individual adipocytes. Both methods identified an increase in mean adipocyte size in a murine model of obesity, with good concordance, although the calculation used to identify cell area from manual measurements was found to consistently over-estimate cell size. Here we report an accurate method to determine adipocyte area in histological sections that provides a considerable time saving over manual methods.

BackgroundThe Leishmania OligoC-TesT and NASBA-Oligochromatography (OC) were recently developed for simplified and standardised molecular detection of Leishmania parasites in clinical specimens. We here present the phase II evaluation of both tests for diagnosis of visceral leishmaniasis (VL), cutaneous leishmaniasis (CL) and post kala-azar dermal leishmaniasis (PKDL) in Sudan.MethodologyThe diagnostic accuracy of the tests was evaluated on 90 confirmed and 90 suspected VL cases, 7 confirmed and 8 suspected CL cases, 2 confirmed PKDL cases and 50 healthy endemic controls from Gedarif state and Khartoum state in Sudan.Principal FindingsThe OligoC-TesT as well as the NASBA-OC showed a sensitivity of 96.8% (95% CI: 83.8%–99.4%) on lymph node aspirates and of 96.2% (95% CI: 89.4%–98.7%) on blood from the confirmed VL cases. The sensitivity on bone marrow was 96.9% (95% CI: 89.3%–99.1%) and 95.3% (95% CI: 87.1%–98.4%) for the OligoC-TesT and NASBA-OC, respectively. All confirmed CL and PKDL cases were positive with both tests. On the suspected VL cases, we observed a positive OligoC-TesT and NASBA-OC result in 37.1% (95% CI: 23.2%–53.7%) and 34.3% (95% CI: 20.8%–50.9%) on lymph, in 72.7% (95% CI: 55.8%–84.9%) and 63.6% (95% CI: 46.6%–77.8%) on bone marrow and in 76.9% (95% CI: 49.7%–91.8%) and 69.2% (95% CI: 42.4%–87.3%) on blood. Seven out of 8 CL suspected cases were positive with both tests. The specificity on the healthy endemic controls was 90% (95% CI: 78.6%–95.7%) for the OligoC-TesT and 100% (95% CI: 92.9%–100.0%) for the NASBA-OC test.ConclusionsBoth tests showed high sensitivity on lymph, blood and tissue scrapings for diagnosis of VL, CL and PKDL in Sudan, but the specificity for clinical VL was significantly higher with NASBA-OC.

Traditionally, expert analysis is required to evaluate pathological changes manifested in tissue biopsies. This is a highly-skilled process, notwithstanding issues of limited throughput and inter-operator variability, thus the application of image analysis algorithms to this domain may drive innovation in disease diagnostics. There are a number of problems facing the development of objective, unsupervised methods in morphometry that must be overcome. In the first instance, we decided to focus on one aspect of skin histopathology, that of collagen structure, as changes in collagen organisation have myriad pathological sequelae, including delayed wound healing and fibrosis. Methods to quantify incremental loss in structure are desirable, particularly as subclinical changes may be difficult to assess using existing criteria. For example, collagen structure is known to change with age, and through the calculation of foci distances in ellipses derived from the Fourier scatter, we were able to measure a decrease in collagen bundle thickness in picrosirius stained skin with age. Another key indicator of skin physiology is new collagen synthesis, which is necessary to maintain a healthy integument. To investigate this phenomenon, we developed a colourbased image segmentation method to discriminate newly-synthesised from established collagen revealed by Herovici's polychrome staining. Our scheme is adaptive to variations in hue and intensity, and our use of K-means clustering and intensity-based colour filtering informed the segmentation and quantification of red (indicating old fibres) and blue pixels (indicating new fibres). This allowed the determination of the ratio of young to mature collagen fibres in the dermis, revealing an age-related reduction in new collagen synthesis. These automated colour and frequency domain methods are tractable to high-throughput analysis and are independent of operator variability.