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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">inform</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-0301</issn><issn pub-type="epub">2617-6963</issn><publisher><publisher-name>UIIP NASB</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">inform-181</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITION</subject></subj-group></article-categories><title-group><article-title>ПРОГРАММНЫЙ ПАКЕТ CellDataMiner ДЛЯ АНАЛИЗА ЛЮМИНЕСЦЕНТНЫХ ИЗОБРАЖЕНИЙ РАКОВЫХ КЛЕТОК</article-title><trans-title-group xml:lang="en"><trans-title>THE SOFTWARE PACKAGE CellDataMiner FOR DATA ANALYSIS OF FLUORESCENT IMAGES OF CANCER CELLS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лисица</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Lisitsa</surname><given-names>Y. U.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Минск, пр. Независимости, 4</p></bio><email xlink:type="simple">Lisitsa@bsu.by</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Яцков</surname><given-names>Н. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Yatskou</surname><given-names>M. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Минск, пр. Независимости, 4</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Апанасович</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Apanasovich</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Минск, пр. Независимости, 4</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Апанасович</surname><given-names>Т. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Apanasovich</surname><given-names>T. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>1922 F str NW, Old Main</p></bio><email xlink:type="simple">apanasovich@gwu.edu</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Белорусский государственный университет</institution><country>Belarus</country></aff><aff xml:lang="ru" id="aff-2"><institution>Университет Джорджа Вашингтона</institution><country>United States</country></aff><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>12</day><month>11</month><year>2016</year></pub-date><volume>0</volume><issue>4</issue><fpage>73</fpage><lpage>84</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Лисица Е.В., Яцков Н.Н., Апанасович В.В., Апанасович Т.В., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Лисица Е.В., Яцков Н.Н., Апанасович В.В., Апанасович Т.В.</copyright-holder><copyright-holder xml:lang="en">Lisitsa Y.U., Yatskou M.M., Apanasovich V.V., Apanasovich T.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://inf.grid.by/jour/article/view/181">https://inf.grid.by/jour/article/view/181</self-uri><abstract><p>Предлагается программный пакет CellDataMiner для анализа люминесцентных изображений раковых клеток. Проводится сравнительный анализ алгоритмов классификации и кластеризации данных с целью реализации в пакете наиболее эффективных из них. Работоспособность программного обеспечения проверяется на экспериментальных данных, представляющих результаты по исследованию опухоли молочной железы.</p></abstract><trans-abstract xml:lang="en"><p>The paper presents the software package CellDataMiner for data analysis of lumencent images of cancer cells. The comparative analysis of classification and clustering methods is carried out. The most sufficient of them are implemented in the software. The software package is tested on the dataset of the experimental images of breast cancer.</p></trans-abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls / O. Ronneberger [et al.] // Chromosome Res. – 2008. – Vol. 16(3). – P. 523–562.</mixed-citation><mixed-citation xml:lang="en">Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls / O. Ronneberger [et al.] // Chromosome Res. – 2008. – Vol. 16(3). – P. 523–562.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Molecular Biology of the Cell / B. Alberts [et al.]. – N. Y. : Garland Science, 2012.</mixed-citation><mixed-citation xml:lang="en">Molecular Biology of the Cell / B. Alberts [et al.]. – N. Y. : Garland Science, 2012.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">BioImageXD: an open, general-purpose and high-throughput image-processing platform / P. Kankaanpaa [et al.] // Nat Methods. – 2012. – Vol. 9(7). – P. 683–689.</mixed-citation><mixed-citation xml:lang="en">BioImageXD: an open, general-purpose and high-throughput image-processing platform / P. Kankaanpaa [et al.] // Nat Methods. – 2012. – Vol. 9(7). – P. 683–689.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Computer control of microscopes using μManager / A. Edelstein [et al.] // Current Protocols in Molecular Biology. – 2010. – Vol. 14(20). – P. 1–17.</mixed-citation><mixed-citation xml:lang="en">Computer control of microscopes using μManager / A. Edelstein [et al.] // Current Protocols in Molecular Biology. – 2010. – Vol. 14(20). – P. 1–17.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Fiji: an open-source platform for biological-image analysis / J. Schindelin [et al.] // Nat Methods. – 2012. – Vol. 9(7). – P. 676–682.</mixed-citation><mixed-citation xml:lang="en">Fiji: an open-source platform for biological-image analysis / J. Schindelin [et al.] // Nat Methods. – 2012. – Vol. 9(7). – P. 676–682.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Computer-aided Image Processing of Angiogenic Histological / M. Sprindzuk [et al.] // J. Clin. Med. Res. – 2009. – Vol. 1(5). – P. 249–261.</mixed-citation><mixed-citation xml:lang="en">Computer-aided Image Processing of Angiogenic Histological / M. Sprindzuk [et al.] // J. Clin. Med. Res. – 2009. – Vol. 1(5). – P. 249–261.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">CellProfiler Analyst: data exploration and analysis software for complex image-based screens / T.R. Jones [et al.] // BMC Bioinformatics. – 2008. – Vol. 9. – 482 p.</mixed-citation><mixed-citation xml:lang="en">CellProfiler Analyst: data exploration and analysis software for complex image-based screens / T.R. Jones [et al.] // BMC Bioinformatics. – 2008. – Vol. 9. – 482 p.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Quantitative analysis of estrogen receptor heterogeneity in breast cancer / G.G. Chung [et al.] // Lab. Invest. – 2007. – Vol. 87(7). – P. 662–669.</mixed-citation><mixed-citation xml:lang="en">Quantitative analysis of estrogen receptor heterogeneity in breast cancer / G.G. Chung [et al.] // Lab. Invest. – 2007. – Vol. 87(7). – P. 662–669.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Разработка методов цифровой обработки люминесцентных изображений биологических объектов / В.В. Апанасович [и др.]. – Минск : Белорусский фонд фундаментальных исследований, 2013.</mixed-citation><mixed-citation xml:lang="en">Разработка методов цифровой обработки люминесцентных изображений биологических объектов / В.В. Апанасович [и др.]. – Минск : Белорусский фонд фундаментальных исследований, 2013.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Методы и модели анализа данных: OLAP и Data Mining / А.А. Барсегян [и др.]. – СПб. : БХВ-Петербург, 2004. – 336 с.</mixed-citation><mixed-citation xml:lang="en">Методы и модели анализа данных: OLAP и Data Mining / А.А. Барсегян [и др.]. – СПб. : БХВ-Петербург, 2004. – 336 с.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">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.</mixed-citation><mixed-citation xml:lang="en">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.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Мандель, И.Д. Кластерный анализ / И.Д. Мандель. – М. : Финансы и статистика, 1988. – 176 с.</mixed-citation><mixed-citation xml:lang="en">Мандель, И.Д. Кластерный анализ / И.Д. Мандель. – М. : Финансы и статистика, 1988. – 176 с.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Прикладная статистика. Классификация и снижение размерности / С.А. Айвазян [и др.]. – М. : Финансы и статистика, 1989. – 607 с.</mixed-citation><mixed-citation xml:lang="en">Прикладная статистика. Классификация и снижение размерности / С.А. Айвазян [и др.]. – М. : Финансы и статистика, 1989. – 607 с.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Воронцов, К.В. Комбинаторный подход к оценке качества обучаемых алгоритмов / К.В. Воронцов // Математические вопросы кибернетики. – М. : Физматлит, 2004. – Vol. 13. – С. 5–36.</mixed-citation><mixed-citation xml:lang="en">Воронцов, К.В. Комбинаторный подход к оценке качества обучаемых алгоритмов / К.В. Воронцов // Математические вопросы кибернетики. – М. : Физматлит, 2004. – Vol. 13. – С. 5–36.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
