The retinal fractal dimension (FD) is a measure of vasculature branching pattern complexity. FD has been considered as a potential biomarker for the detection of several diseases like diabetes and hypertension. However, conflicting findings were found in the reported literature regarding the association between this biomarker and diseases. In this paper, we examine the stability of the FD measurement with respect to (1) different vessel annotations obtained from human observers, (2) automatic segmentation methods, (3) various regions of interest, (4) accuracy of vessel segmentation methods, and (5) different imaging modalities. Our results demonstrate that the relative errors for the measurement of FD are significant and FD varies considerably according to the image quality, modality, and the technique used for measuring it. Automated and semiautomated methods for the measurement of FD are not stable enough, which makes FD a deceptive biomarker in quantitative clinical applications.

Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease. Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of blindness. In this paper, a novel and reliable method for automatic detection of MAs in retinal images is proposed. In the first stage of the proposed method, several preliminary microaneurysm candidates are extracted using a gradient weighting technique and an iterative thresholding approach. In the next stage, in addition to intensity and shape descriptors, a new set of features based on local convergence index filters is extracted for each candidate. Finally, the collective set of features is fed to a hybrid sampling/boosting classifier to discriminate the MAs from non-MAs candidates. The method is evaluated on images with different resolutions and modalities (color and scanning laser ophthalmoscope) using six publicly available data sets including the retinopathy online challenges (ROC) data set. The proposed method achieves an average sensitivity score of 0.471 on the ROC data set outperforming state-of-the-art approaches in an extensive comparison. The experimental results on the other five data sets demonstrate the effectiveness and robustness of the proposed MAs detection method regardless of different image resolutions and modalities.

By leveraging the ability of bacteria to express therapeutic protein cytolysin A (ClyA) through plasmid transformation, a thermally‐activated biohybrid (TAB@Au) is constructed by biomineralizing gold nanoparticles (AuNPs) on the E. coli surface. Due to the feature of anaerobic bacteria homing to tumor microenvironments, the bacteria‐based antitumor vehicles can be efficaciously accumulated at tumor sites. Under NIR laser irradiation, the biomineralized AuNPs harvest transdermal photons and convert them into local heat for photothermal therapy. After that, the produced heat elicits the expression of ClyA for killing tumor cells. In vitro and in vivo experiments verify the conception that the current therapeutic modality greatly inhibits the proliferation of tumor cells. In terms of the spatial specificity and non‐invasiveness of NIR laser, the bacteria‐based phototherapy represents an appealing way for tumor therapy.

During positive pressure mechanical ventilation, percentile systolic pressure variation (%SPV) or respiratory-related arterial pressure variability (RAPV) have both been used in assessment of graded haemorrhage. We aimed to investigate whether changes in %SPV and RAPV are correlated during graded haemorrhage (by 5, 10 or 20% of the estimated blood volume) in anaesthetized positive pressure ventilated rats and to investigate the involvement of autonomic regulation. Saline vehicle or atropine produced no discernible effect on baseline %SPV or RAPV but, thereafter, %SPV and RAPV increased progressively with graded haemorrhage. Propranolol significantly decreased baseline %SPV and RAPV and changes induced in %SPV and RAPV by graded haemorrhage. Phentolamine significantly enhanced baseline %SPV and RAPV, and further enhancement of %SPV and RAPV by graded haemorrhage did not occur until 20% of the estimated blood volume was removed. RAPV was significantly correlated with %SPV in all experimental groups. We conclude that RAPV is comparable with%SPV as an indicator of graded haemorrhage and that, in anaesthetized and positive pressure ventilated rats, both are dependent on autonomic function, especially beta-adrenoceptors.

Retinal image analysis is a challenging problem due to the precise quantification required and the huge numbers of images produced in screening programs. This paper describes a series of innovative brain-inspired algorithms for automated retinal image analysis, recently developed for the B Bart M. ter Haar Romeny B.M.terHaarRomeny@tue.nl 123 B. M. ter Haar Romeny et al.optic nerve head detection, crossing-preserving enhancement and segmentation of retinal vasculature, arterio-venous ratio, fractal dimension, and vessel tortuosity and bifurcations. Many of these algorithms outperform state-of-the-art techniques. The methods are currently validated in collaborating hospitals, with a rich accompanying base of metadata, to phenotype and validate the quantitative algorithms for optimal classification power.

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Multi-modal retinal image registration is often required to utilize the complementary information from different retinal imaging modalities. However, a robust and accurate registration is still a challenge due to the modality-varied resolution, contrast, and luminosity. In this paper, a two step registration method is proposed to address this problem. on mean phase images is used to register images in the first step. based on modality independent neighbourhood descriptor (MIND) method is followed to refine the registration result in the second step. The proposed method is extensively evaluated on color fundus images and scanning laser ophthalmoscope (SLO) images. Both qualitative and quantitative tests demonstrate improved registration using the proposed method compared to the state-of-the-art. The proposed method produces significantly and substantially larger mean Dice coefficients compared to other methods (p<0.001). It may facilitate the measurement of corresponding features from different retinal images, which can aid in assessing certain retinal diseases.

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