Алгоритмічне забезпечення роботи телевізійного сканувального оптичного мікроскопа під час дослідження динамічних мікрооб’єктів

Abstract

Висвітлено питання, які стосуються алгоритмічного забезпечення роботи телеві- зійного сканувального оптичного мікроскопа (ТСОМ) під час дослідження та визна- чення різних параметрів і характеристик одиничних та групових динамічних мікро- об’єктів (МО) різних розмірів та форм. Наведено блок-схеми відповідних алгоритмів роботи мікроскопа, які забезпечують універсальність та високу точність вимірювань.

The questions concerning algorithmic software of the work of a television scanning optical microscope (TSOM) during research and determination of various parameters and characteristics of single and group dynamic microobjects (MO) having different sizes and shapes are highlighted. The block diagrams of the corresponding algorithms of the microscope operation are given, which provide the versatility and high accuracy of measurements. The main features of a television scanning optical microscope compared to a television video microscope from the point of view of dynamics analysis relate to the methods of using computer complexes for fast data processing. Computer support can be used in such specific processes of the microscope as selecting the size and positioning of the scanning raster, adjusting the spatial resolution by reducing the number of rows of the image layout and the size of the scanning element (SE), setting the scanning speed and the intensity of the luminescence of the SE etc. This allows for a much quicker and easier to solve a number of tasks associated with dynamic MO, which are solved exclusively by software in video microscopy. The tasks associated with dynamic MO are successfully solved in television video microscopy with computer support [1–4], which is, to some extent, a competitor to scanning microscopy in the fields of medicine, biology, mineralogy, metallographic, chemistry, criminology, art studies etc. Among such tasks: 1) analysis of mobility of MO; 2) methods of detecting and maintaining an MO in the field of view of a microscope; 3) image analysis to obtain data on the number, position, phase of motion, and the velocity of MO in microbiology and medicine etc. These tasks are mainly solved by the use of computer programs for digital imaging processing. Some publications [2] mention certain methods and algorithms for detecting and analyzing the motion of investigated MO. The most commonly used software for USB-microscopes: MicroCapture Pro and VP EYE SOFTWARE (manufacturer − company Celestron); ToupView; ToupSee; AmCAP; AmScope; MicroCapture; MiniSee (manufacturer − known company for the production of digital cameras ScopeTek); ScopePhoto; GlobiScope; USBMicroscope; VirtualDub etc.