The analysis of a large number of videos&images obtained as a result of biomedical research is an essential task, primarily associated with computer diagnostics. The procedure for automatic counting of behavioral patterns and brain cells is a key step in the systems of behavioral analysis of videos and microscopic analysis of histological images of nerve tissue. In this regard, the main goal of the work is to develop effective methods for the automatic determination and quantification of behavioral patterns as well as brain cells based on different methods of video/ image pre-processing, processing, computer view and etc.
Tasks
Qualitive and quantitive analysis of biological data, Statistical analysis, Programming, ROC curve, Complexity and SVD, Mark-up histological images
Preliminary schedule by topics/tasks
Theoretical part (literature), work with histological images of nerve tissue using ImageJ/ICY, learning how to identify and measure biological objects on the pics, finding some criterias for better recognition, calculations, normal distribution, statistic
Required skills
Knowledge at biology, neurobiology, cytology, histology, programming (MAtlab, Python), linear algebra, statistical methods, normal distributions
Acquired skills and experience
Processing biomedical data, the use different methods to analyze biological data, working with special software (ICY, ImageJ, etc).
Recommended literature
Sanja Z. Despotović, M. Ćosić, The Morphological Analysis of the Collagen Fiber Straightness in the Healthy Uninvolved Human Colon Mucosa Away From the Cancer; M. Ćosić, M. Hadžijojić, S. Petrović, R. Rymzhanov, Morphological study of the rainbow scattering of protons by graphene // Chaos, 31, 9 (2021); Olga Deeva, Marko Ćosić, Inna Kolesnikova, and Sanja Zoran Despotović. An algorithm on the preprocessing optical microscopy image // Collection of Materials of Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems 2024 (ITTMM 2024), pp. 443-449, 2024; О. К. Деева, М. Чосич, И. А. Колесникова, О. И. Стрельцова Классификация клеток гиппокампа с помощью алгоритмов машинного обучения // Системный анализ в науке и образовании. 2, 1–8, 2024; J. E. Jackson, A User's Guide to Principal Components (Wiley 1991); C. D. Brown, H. T. Davis, Receiver operating characteristic curves and related decision measures: a tutorial. Chemom. Intell. Lab. Syst. 80, 24 (2006); Garman R. H. Histology of the central nervous system //Toxicologic pathology.
