Use of modulation interference microscopy in applied immunology
Levkova E.A., Savin S.Z.
Peoples' Friendship University, Moscow, Russia
Pacific National University, Khabarovsk, Russia
Aim: to determine the osmotic resistance of red blood cells using modulation interference microscopy technologies in the light microscopy mode of biological objects to identify the dynamics and determine the possibility of continuing apitherapy in patients with autoimmune diseases.
Methods. Methodological approaches to the use of modulation interference microscopy and computed tomography for diagnostic medicine and applied immunology are described. Vital computer dynamic photomety, special cytoobject preparation methods and the system of automated computer analysis of cytological images were used; as well as algorithms for recognition, measurement and identification of microorganisms; methods of statistical data processing.
Results. Using the domestic innovative laser microscope MIM340, the osmotic resistance of red blood cells was evaluated using the method of modulation interference microscopy to identify the dynamics and determine the possibility of continuing apitherapy in patients with rheumatoid arthritis and multiple sclerosis. Using computer methods of cytodiagnostics, new aspects of the functional morphology of living cells were identified, and clinical and morphological parallels were established. It was possible to evaluate the diagnostic and prognostic value of vital cell morphometry in various pathological processes and evaluate the effectiveness of therapeutic measures. A data bank of graphic images of red blood cells and lymphocytes of patients with diseases of the immune system was created.
Conclusion. The study of structural features and functional usefulness of circulating blood cells is of great importance for solving the issues of pathogenesis, diagnosis, assessment of the severity of various pathological conditions and the effectiveness of therapy. We believe that the study of living cytoobjects using a new method of coherent phase microscopy will allow us to obtain the most objective data and increase the information content of the analysis, which is undoubtedly an urgent and promising task. In the near future, we are planning to refine mathematical, algorithmic and software support for enhanced decision-making in computer-aided image analysis of the epidermis and the surface part of the dermis in neoplastic processes – malignant skin diseases. It is also necessary to create algorithmic and software tools for computerization of cell model studies for quantitative and qualitative assessment of selective xenobiotic accumulation using laser microscopy.