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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Morphology</journal-id><journal-title-group><journal-title xml:lang="en">Morphology</journal-title><trans-title-group xml:lang="ru"><trans-title>Морфология</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1026-3543</issn><issn publication-format="electronic">2949-2556</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">397755</article-id><article-id pub-id-type="doi">10.17816/morph.397755</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">THE METHOD OF ANALYSIS OF Y-NEURON POPULATIONS IN THE LATERAL GENICULATE BODY OF THE CAT</article-title><trans-title-group xml:lang="ru"><trans-title>МЕТОДИКА АНАЛИЗА ПОПУЛЯЦИЙ Y-НЕЙРОНОВ В ЛАТЕРАЛЬНОМ КОЛЕНЧАТОМ ТЕЛЕ У КОШКИ</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Mikhalkin</surname><given-names>A. A</given-names></name><name xml:lang="ru"><surname>Михалкин</surname><given-names>Александр Александрович</given-names></name></name-alternatives><bio xml:lang="ru"><p>лаборатория нейроморфологии</p></bio><email>michalkin@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Merkulyeva</surname><given-names>N. S.</given-names></name><name xml:lang="ru"><surname>Меркульева</surname><given-names>Наталья Сергеевна</given-names></name></name-alternatives><bio xml:lang="ru"><p>лаборатория нейроморфологии</p></bio><email>mer-natalia@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">RAS I. P.Pavlov Institute of Physiology</institution></aff><aff><institution xml:lang="ru">Институт физиологии им. И. П. Павлова РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2016-08-15" publication-format="electronic"><day>15</day><month>08</month><year>2016</year></pub-date><volume>150</volume><issue>4</issue><issue-title xml:lang="en">VOL 150, NO4 (2016)</issue-title><issue-title xml:lang="ru">ТОМ 150, №4 (2016)</issue-title><fpage>84</fpage><lpage>89</lpage><history><date date-type="received" iso-8601-date="2023-05-09"><day>09</day><month>05</month><year>2023</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2016, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2016, Эко-Вектор</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/></permissions><self-uri xlink:href="https://j-morphology.com/1026-3543/article/view/397755">https://j-morphology.com/1026-3543/article/view/397755</self-uri><abstract xml:lang="en"><p>The paper presents a method of analysis of cell populations that combines the use of normalized spatial coordinates of the neurons with the morphometric criteria of their evaluation. These algorithms were applied to check the heterogeneity of a population of neurons Y-conducting channel in cat at the level of the lateral geniculate body (LGB). As a specific marker of Y-neurons, SMI-32 antibodies were used. Evaluated The dynamics of the distribution of the number of cells and the orientation of their soma within each layer and mediolaterally along the length of LGB dorsal nucleus (LGBDN). Among the SMI-32-positive neurons, the existence of at least two populations was detected differing in number, orientation and distribution of the soma in different layers of LGBDN. The heterogeneity of Y-neuron population in LGBDN detected in this study is consistent with the earlier electrophysiological data. We believe that the described algorithm for neuronal analysis may be successfully applied to study not only LGB, but also other extensive structures of the brain, including those having laminar organization.</p></abstract><trans-abstract xml:lang="ru"><p>В работе приведён способ анализа клеточных популяций, сочетающий использование нормированных пространственных координат нейронов с морфометрическими критериями их оценки. Данные алгоритмы применили для проверки неоднородности популяции нейронов Y-проводящего канала у кошки на уровне наружного латерального коленчатого тела (ЛКТ). В качестве специфичного маркёра Y-нейронов применили антитела SMI-32. Оценивали динамику распределения количества клеток и ориентации их сомы в пределах отдельного слоя и вдоль медиолатеральной протяжённости дорсального ядра коленчатого тела (ДЯЛКТ). Среди SMI-32-позитивных нейронов обнаружено существование, как минимум, двух популяций, различающихся по численности, ориентации сомы и распределению в разных слоях ДЯЛКТ. Выявленная неоднородность популяции Y-нейронов ДЯЛКТ согласуется с полученными ранее электрофизиологическими данными. Полагаем, что описанный в работе алгоритм анализа нейронов может быть успешно применён для исследования не только ЛКТ, но и иных протяжённых, в том числе ламинарно-организованных структур мозга.</p></trans-abstract><kwd-group xml:lang="en"><kwd>cat visual system</kwd><kwd>lateral geniculate body</kwd><kwd>Y-conducting channel</kwd><kwd>SMI-32 antibodies</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>зрительная система кошки</kwd><kwd>латеральное коленчатое тело</kwd><kwd>Y-проводящий канал</kwd><kwd>антитела SMI-32</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Конюхов А. Л. 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