[en] To reduce the dimension of a vibrational problem to be solved by the coupled channel method in the case of interacting electronic states of diatomic molecules, we propose to use the contact van Vleck transformations, which make it possible to take into account the nonadiabatic intramolecular interactions with distant states by modifying the initial potential energy matrix. The efficiency of the reduced coupled vibrational channel method (RCVCM) has been demonstrated by an example of analyzing the regular spin–orbital, electron–rotational, and spin–rotational perturbations discovered in the fine structure of vibrational–rotational levels of the $c^3{\mathrm{\Sigma <!--\; ??\; -->}}_{\mathrm{\Omega <!--\; ??\; -->}}^{+}$-state of a KRb molecule by methods of high-precision laser-emission spectroscopy. The adiabatic potentials and nonadiabatic electron matrix elements, as functions of the internuclear distance necessary for application of the RCVCM, were obtained in the framework of the nonempirical high-level calculation. It has been demonstrated that the RCVCM has broad extrapolation possibilities and makes it possible to describe the position of the regularly perturbed energy levels of Ω-components of the triplet $c^3{\mathrm{\Sigma <!--\; ??\; -->}}_{\mathrm{\Omega <!--\; ??\; -->}}^{+}$‑state at the spectroscopic accuracy level.

[en] Numerical simulation of the effect of intramolecular electrostatic interactions on redistribution of relative intensities in the vibrational structure of (1 ~ 2)¹Π–X¹Σ⁺ rotationally resolved transitions of the KRb molecule is performed within the precision nonadiabatic model of coupled vibrational channels. It is established that mutual perturbation of electronically excited states modifies in a nontrivial way a nodal structure of nonadiabatic wavefunction of the (1 ~ 2)¹Π complex, which is possible to use for rising efficiency of twostep laser synthesis and stabilization of ultracold ensembles of KRb molecules in the ground electronic state.

[en] The combined application of optical coherence tomography, Raman and autofluorescence spectroscopy of biotissues for the analysis of human malignant neoplasms is demonstrated. Rapid investigation of vast biotissue regions (at the scale of entire organs) is possible using the autofluorescence response. After selection of possible zones of pathologies one can visualise the neoplasm topology in the zone of interest with micron precision by using optical coherence tomography. In the case of suspecting the malignancy the analysis of the biotissue Raman spectrum is carried out that allows identification of the neoplasm type with the sensitivity and specificity ∼85%. An experimental scheme is proposed with the combined use of the abovementioned methods, which is a prototype of the medical system for complex analysis of neoplasms. (laser biophotonics)

[en] The aim of this study is to analyze the spectral characteristics of ascitic fluid using Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS). The utilization of SERS allows for detection the presence of ascitic fluid components that are not available for revealing when analyzed using conventional Raman spectroscopy. The potential to detect the spectral contribution of a number of pathogenic microorganisms utilizing the proposed SERS-based optical approach has been demonstrated. (paper)

[en] In current study we used Raman spectroscopy and autofluorescence analysis in visible and NIR region for the analysis of human skin spectral characteristics in the presence of various influencing factors. We performed the comparative research of Raman experimental data and visible autofluorescence analysis results. The processing of experimental data was performed on the bases of regression analysis.We estimated correlations between Raman and autofluorescence signals and also find informative Raman and autofluorescence bands that may be used as predictors of general condition of the body.The use of Raman spectroscopy of humanskin made it possible torevealkidney failurewith a diagnosticaccuracy more than 90%.When constructing theregression for analysing the correlation of Ramanspectral features of skinin the NIR and thearithmetic average ofthe fluorescenceintensity of the visibleregion R² = 0.69. Acombined skin analysisbased on Raman andfluorescencein thevisible region mayimprove the performedskin analysis. (paper)