Raster-scan optoacoustic angiography at 532 nm wavelength with 50 μm lateral resolution at 2 mm diagnostic depth was used for quantitative characterization of neoangiogenesis in colon cancer models. Two tumor models of human colon adenocarcinoma (HT-29) and murine colon carcinoma (CT26) different in their histology and vascularization were compared. Tumors of both origins showed an inhomogeneous distribution of areas with high and low vascularization. Rapidly growing CT26 tumor demonstrated a higher rate of vessel growth from the periphery to the center. Peculiarities of the vascularity of tumor models revealed by optoacoustic imaging were confirmed by fluorescent microscopy with FITC-dextran and morphological analysis. The obtained results may be important for the investigation of tumor development and for improvement of colon cancer treatment strategies.

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The aim of the study is to characterize a new information and telecommunication technology-event-related of the heart rate telemetry-for remote monitoring of cognitive functions and stress conditions in the context of everyday activity. Results. A new technology of event-related telemetry of the heart rate has been developed and characterized in terms of the cognitive function monitoring. The optimal architecture of this system provides for continuous monitoring of the patient's functional state in the context of sensorimotor activity while controlling the features of information images in the virtual computer environment. Errors in this control function are considered to objectively reflect the primary cognitive functions and sensorimotor coordination. The possibility of using such multilevel psychophysiological monitoring throughout the everyday life activity is discussed. Conclusion. A novel automated expert system-event-related telemetry-has been developed; this includes hardware, algorithmic and software Internet resources for detecting the early signs of stress and cognitive function impairment in the real time mode, without restricting person's mobility and without attracting his/her attention to the measurement process.

We propose a GPU-accelerated implementation of frequency-domain synthetic aperture focusing technique (SAFT) employing truncated regularized inverse k-space interpolation. Our implementation achieves sub-1s reconstruction time for data sizes of up to 100 M voxels, providing more than a tenfold decrease in reconstruction time as compared to CPU-based SAFT. We provide an empirical model that can be used to predict the execution time of quasi-3D reconstruction for any data size given the specifications of the computing system.