Automated quality assessment of retinal fundus photos.

OBJECTIVE: Automated, objective and fast measurement of the image quality of single retinal fundus photos to allow a stable and reliable medical evaluation. METHODS: The proposed technique maps diagnosis-relevant criteria inspired by diagnosis procedures based on the advise of an eye expert to quantitative and objective features related to image quality. Independent from segmentation methods it combines global clustering with local sharpness and texture features for classification. RESULTS: On a test dataset of 301 retinal fundus images we evaluated our method on a given gold standard by human observers and compared it to a state of the art approach. An area under the ROC curve of 95.3% compared to 87.2% outperformed the state of the art approach. A significant p-value of 0.019 emphasizes the statistical difference of both approaches. CONCLUSIONS: The combination of local and global image statistics models the defined quality criteria and automatically produces reliable and objective results in determining the image quality of retinal fundus photos.

Glaucoma risk index: automated glaucoma detection from color fundus images.

Glaucoma as a neurodegeneration of the optic nerve is one of the most common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and widely used digital color fundus images. After a glaucoma specific preprocessing, different generic feature types are compressed by an appearance-based dimension reduction technique. Subsequently, a probabilistic two-stage classification scheme combines these features types to extract the novel Glaucoma Risk Index (GRI) that shows a reasonable glaucoma detection performance. On a sample set of 575 fundus images a classification accuracy of 80% has been achieved in a 5-fold cross-validation setup. The GRI gains a competitive area under ROC (AUC) of 88% compared to the established topography-based glaucoma probability score of scanning laser tomography with AUC of 87%. The proposed color fundus image-based GRI achieves a competitive and reliable detection performance on a low-priced modality by the statistical analysis of entire images of the optic nerve head.

The conformational stability and thermodynamics of Fur A (ferric uptake regulator) from Anabaena sp. PCC 7119.

Fur (ferric uptake regulator) is a key bacterial protein that regulates iron acquisition and its storage, and modulates the expression of genes involved in the response to different environmental stresses. Although the protein is involved in several regulation mechanisms, and members of the Fur family have been identified in pathogen organisms, the stability and thermodynamic characterization of a Fur protein have not been described. In this work, the stability, thermodynamics and structure of the functional dimeric Fur A from Anabaena sp. PCC 7119 were studied by using computational methods and different biophysical techniques, namely, circular dichroism, fluorescence, Fourier-transform infrared, and nuclear magnetic resonance spectroscopies. The structure, as monitored by circular dichroism and Fourier-transform infrared, was composed of a 40% of alpha-helix. Chemical-denaturation experiments indicated that Fur A folded via a two-state mechanism, but its conformational stability was small with a value of DeltaG = 5.3 +/- 0.3 kcal mol(-1) at 298 K. Conversely, Fur A was thermally a highly stable protein. The high melting temperature (Tm = 352 +/- 5 K), despite its moderate conformational stability, can be ascribed to its low heat capacity change upon unfolding, DeltaCp, which had a value of 0.8 +/- 0.1 kcal mol(-1) K(-1). This small value is probably due to burial of polar residues in the Fur A structure. This feature can be used for the design of mutants of Fur A with impaired DNA-binding properties.