1. Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls / O. Ronneberger [et al.] // Chromosome Res. - 2008. - Vol. 16(3). - P. 523-562.
2. Molecular Biology of the Cell / B. Alberts [et al.]. - N. Y. : Garland Science, 2012.
3. Rueden, C. VisBio: a computational tool for visualization of multidimensional biological image data / C. Rueden, K. Eliceiri, J. White // Traffic. - 2004. - Vol. 5. - P. 411-417.
4. BioImageXD: an open, general-purpose and high-throughput image-processing platform / P. Kankaanpaa [et al.] // Nat Methods. - 2012. - Vol. 9(7). - P. 683-689.
5. Computer control of microscopes using μManager / A. Edelstein [et al.] // Current Protocols in Molecular Biology. - 2010. - Vol. 14(20). - P. 1-17.
6. The FARSIGHT Project: Associative 4D/5D Image Analysis Methods for Quantifying Complex and Dynamic Biological Microenvironments / B. Roysam [et al.] // Microscopy and Microanalysis. - 2008. - Vol. 14 (Supplement S2). - P. 60-61.
7. Schneider, C.A. NIH Image to ImageJ: 25 years of image analysis / C.A. Schneider, W.S. Rasband, K.W. Eliceiri // Nat Methods. - 2012. - Vol. 9(7). - P. 671-675.
8. Out, W.A. A new method for morphometric analysis of opal phytoliths from plants / W.A. Out, J.F. Pertusa Grau, M. Madella // Microsc Microanal. - 2014. - Vol. 20(6). - P. 1876-1887.
9. Fiji: an open-source platform for biological-image analysis / J. Schindelin [et al.] // Nat Methods. - 2012. - Vol. 9(7). - P. 676-682.
10. Optimized digital counting colonies of clonogenic assays using ImageJ software and customized macros: comparison with manual counting / Z. Cai [et al.] // Int. J. Radiat. Biol. - 2011. - Vol. 87(11). - P. 1135-1146.
11. Designing a wearable navigation system for image-guided cancer resection surgery / P. Shao [et al.] // Ann Biomed Eng. - 2014. - Vol. 42(11). - P. 2228-2237.
12. Computer-aided Image Processing of Angiogenic Histological / M. Sprindzuk [et al.] // J. Clin. Med. Res. - 2009. - Vol. 1(5). - P. 249-261.
13. Bray, M.A. Using CellProfiler for Automatic Identification and Measurement of Biological Objects in Images / M.A. Bray, M.S. Vokes, A.E. Carpenter // Current Protocols in Molecular Biology. - 2015. - Vol. 109. - P. 14 17 1-14 17 13.
14. CellProfiler Analyst: data exploration and analysis software for complex image-based screens / T.R. Jones [et al.] // BMC Bioinformatics. - 2008. - Vol. 9. - 482 p.
15. Gonzalez, W. Eddins, Digital Image Processing Using MATLAB / W. Gonzalez. - 2nd edition. - Gatesmark Publishing, 2009. 16. Novoselova, N. Supervised Clustering of Genes for Multi-Class Phenotype Classification / N. Novoselova, I. Tom // Modeling and Simulation (MS'2012). - Minsk : BSU, 2012. - Р. 32-36.
16. Alilou, M. Segmentation of cell nuclei in heterogeneous microscopy images: a reshapable templates approach / M. Alilou, V. Kovalev, V. Taimouri // Comput Med Imaging Graph. - 2013. - Vol. 37(7-8). - P. 488-499.
17. Segmentation of microscope cell images via adaptive eigenfilters / S. Kumar [et al.] // Image Proc. ICIP'04. Intern. Conf. - Singapore, 2004. - Vol. 1. - Р. 135-138.
18. Abbas, S.S. A comparative study of cell classifiers for image-based high-throughput screening / S.S. Abbas, T.M. Dijkstra, T. Heskes // BMC Bioinformatics. - 2014. - Vol. 15. - 342 p.
19. Quantitative analysis of estrogen receptor heterogeneity in breast cancer / G.G. Chung [et al.] // Lab. Invest. - 2007. - Vol. 87(7). - P. 662-669.
20. Camp, R.L. Automated subcellular localization and quantification of protein expression in tissue microarrays / R.L. Camp, G.G. Chung, D.L. Rimm // Nat. Med. - 2002. - Vol. 8(11). - P. 1323-1327.
21. Simulation Model for Three-Channel Luminescent Images of Cancer Cell Populations / E.V. Lisitsa [et al.] // Journal of Applied Spectroscopy. - 2015. - Vol. 81(6). - P. 996-1003.
22. Review of free software tools for image analysis of fluorescence cell micrographs / V. Wiesmann [et al.] // Journal of Microscopy. - 2015. - Vol. 257, iss. 1. - Р. 39-53.
23. Алгоритм автоматической сегментации границ ядер раковых клеток на трехканальных люминесцентных изображениях / Е.В. Лисица [и др.] // Журнал прикладной спектроскопии. - 2015. - № 82(4). - С. 598-607.
24. Разработка методов цифровой обработки люминесцентных изображений биологических объектов / В.В. Апанасович [и др.]. - Минск : Белорусский фонд фундаментальных исследований, 2013.
25. High-content phenotypic profiling of drug response signatures across distinct cancer cells / P.D. Caie [et al.] // Mol Cancer Ther. - 2010. - Vol. 9(6). - Р. 1913-1926.
26. Методы и модели анализа данных: OLAP и Data Mining / А.А. Барсегян [и др.]. - СПб. : БХВ-Петербург, 2004. - 336 с.
27. Uragun, B. The discrimination of interaural level difference sensitivity functions: development of a taxonomic data template for modelling / B. Uragun, R. Rajan. - Clayton : Monash University, 2013. - Р. 1471-2202.
28. Мандель, И.Д. Кластерный анализ / И.Д. Мандель. - М. : Финансы и статистика, 1988. - 176 с.
29. Прикладная статистика. Классификация и снижение размерности / С.А. Айвазян [и др.]. - М. : Финансы и статистика, 1989. - 607 с.
30. Воронцов, К.В. Комбинаторный подход к оценке качества обучаемых алгоритмов / К.В. Воронцов // Математические вопросы кибернетики. - М. : Физматлит, 2004. - Vol. 13. - С. 5-36.