Figure 3. Mode User 1 basic form. Conclusion
As the result of this work a simulation model and an image simulation algorithm have been developed, the primary purpose of which is to simulate fluorescent images of microbiological objects.
The developed software package makes it easy to simulate the necessary synthetic image due to the implementation of two graphical user interfaces. When working in mode User 1 all simulation parameters have to be entered in numerical form and for mode User 2 a more user-friendly graphical interface is implemented: one can select parameters on the basis of the samples offered, but the range of options is limited and covers only the most important stages of modelling.
By means of the implemented application it became possible to reproduce a number of various microbiological objects fluorescent images, including a series of cancer cells images. To verify adequacy and consistency of the model the equivalent radii of the affected cells on the experimental and generated images, as well as the intensity levels in different colour channels of image elements were compared.
In spite of the differences from the experimental images the obtained synthetic images can reveal qualitative morphological properties of the system and allow measuring individual characteristics of the simulated tissue and measuring system. Moreover, a vast list of possible simulation parameters provides a possibility to generate a wide variety of images.
The developed simulation model and application implemented on its basis provide successful simulation of different biological objects fluorescent images. At the same time the software has a convenient and user-friendly interface.
In the future on the basis of simulation approaches models that characterize not only the location of cell populations but also their state should be considered. There is a need to develop a model describing biological processes in the cell, and to implement a model of an interacting cells layer which are not thoroughly studied yet.
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