Blood flow dynamics in the arterial and venous parts of the capillary.

Although there is currently sufficient information on various parameters of capillary blood flow, including the average values of blood velocity, there is no data on the dynamics of velocity and the mechanisms of its modulation in various parts of the capillary. The main idea of this work is to develop a tool and image data processing to study the characteristics of the capillary blood flow dynamics. In this study, using the developed method of high-speed videocapillaroscopy, the red blood cells (RBC) velocities in the arterial and venous parts of the nailfold capillaries were compared and a time-frequency analysis of the dynamics of the velocity signals with the calculation of phase coherence was performed.

[Modern optical non-invasive technologies in diagnostics of urological diseases. Literature review. Part I].

The effects of the interaction of optical radiation and biological tissues underlie various optical diagnostics technologies, including laser Doppler flowmetry, diffuse reflection spectroscopy, fluorescent spectroscopy, photodynamic diagnostics (fluorescent cystoscopy), confocal microscopy, optical coherence tomography, etc. The efficiency of these technologies is the subject of study in various fields of medicine, such as dermatology and ophthalmology, anesthesiology and cardiac surgery, in the diagnosis of malignant tumors and others. In the first part of our review, the available data on the feasibility of using laser Doppler flowmetry and diffuse reflection spectroscopy as a diagnostic tool in urological practice are reviewed and systematized.

In Vivo Time-Resolved Fluorescence Detection of Liver Cancer Supported by Machine Learning.

Objectives: One of the widely used optical biopsy methods for monitoring cellular and tissue metabolism is time-resolved fluorescence. The use of this method in optical liver biopsy has a high potential for studying the shift in energy-type production from oxidative phosphorylation to glycolysis and changes in the antioxidant defense of malignant cells. On the other hand, machine learning methods have proven to be an excellent solution to classification problems in medical practice, including biomedical optics.

Microcirculatory Dysfunction in Patients With Diabetes Mellitus Detected by a Distributed System of Wearable Laser Doppler Flowmetry Analysers.

The paper is devoted to the study of perfusion and amplitude-frequency spectra of laser Doppler flowmetry (LDF) signals in patients with diabetes mellitus (DM) in different skin areas of the upper and lower extremities using a distributed system of wearable LDF analysers. LDF measurements were performed in the areas of the fingers, toes, wrists and shins. The mean perfusion values, the amplitudes of blood flow oscillations in endothelial, neurogenic, myogenic, respiratory and cardiac frequency ranges, and the values of nutritive blood flow were analysed.