bioRxiv ScienceSearch

Biology subjects

Bogachev, M.

Publications and source records attributed to Bogachev, M..

2 recordsLinked to original sources

Mutual synchronization pattern as a complementary indicator of the short-term blood pressure - heart rate feedback regulation activity

We suggest a complementary indicator of the blood pressure - heart rate feedback regulation based on their synchronization pattern assessed by Hilbert transform. We determine the synchronization coefficient Sync as the fraction of time fragments where the standard deviation of the differences between instantaneous phases of blood pressure and pulse intervals are below a certain threshold. While BRS characterizes the intensity of the pulse intervals response to the blood pressure changes during observed feedback responses, the Sync likely indicates how often such responses are activated in the first place. Data from 95 tilt test records indicate that in both healthy subjects and patients with moderate autonomic dysfunction BRS and Sync are typically reciprocal suggesting that low intensity of the feedback responses characterized by low BRS is rather compensated by their more frequent activation indicated by higher Sync. In contrast, in diabetes patients with autonomic neuropathy BRS and Sync are positively correlated likely indicating the breakdown of this compensation in some of the diabetic patients. Therefore we suggest that Sync could be used as an additional indicator of the blood pressure - heart rate feedback regulation activity that is complementary to the widely used baroreflex sensitivity (BRS).

physiology

Fast and Simple Tool for the Quantification of Biofilm-Embedded Cells Sub-Populations From Fluorescent Microscopic Images

Fluorescent staining is a common tool for both quantitative and qualitative assessment of pro- and eukaryotic cells sub-population fractions by using microscopy and flow cytometry. However, direct cell counting by flow cytometry is often limited, for example when working with cells rigidly adhered either to each other or to external surfaces like bacterial biofilms or adherent cell lines and tissue samples. An alternative approach is provided by using fluorescent microscopy and confocal laser scanning microscopy (CLSM), which enables the evaluation of fractions of cells subpopulations in a given sample. For the quantitative assessment of cell fractions in microphotographs, we suggest a simple two-step algorithm that combines single cells selection and the statistical analysis. To facilitate the first step, we suggest a simple procedure that supports finding the balance between the detection threshold and the typical size of single cells based on objective cell size distribution analysis. Based on a series of experimental measurements performed on bacterial and eukaryotic cells under various conditions, we show explicitly that the suggested approach effectively accounts for the fractions of different cell sub-populations (like the live/dead staining in our samples) in all studied cases that are in good agreement with manual cell counting on microphotographs and flow cytometry data. This algorithm is implemented as a simple software tool that includes an intuitive and user-friendly graphical interface for the initial adjustment of algorithm parameters to the microphotographs analysis as well as for the sequential analysis of homogeneous series of similar microscopic images without further user intervention. The software tool entitled BioFilmAnalyzer is freely available online at https://bitbucket.org/rogex/biofilmanalyzer/downloads/.

microbiology