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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="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">I.P. Pavlov Journal of Higher Nervous Activity</journal-id><journal-title-group><journal-title xml:lang="en">I.P. Pavlov Journal of Higher Nervous Activity</journal-title><trans-title-group xml:lang="ru"><trans-title>Журнал высшей нервной деятельности им. И.П. Павлова</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0044-4677</issn><issn publication-format="electronic">3034-5316</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">652094</article-id><article-id pub-id-type="doi">10.31857/S0044467724030094</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>МЕТОДИКА</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">AVRawRA – application for video raw record acquisition for neuroimaging and videoregistration research</article-title><trans-title-group xml:lang="ru"><trans-title>AVRawRA – приложение для получения исходных видеозаписей в нейровизуализационных исследованиях и видеорегистрации</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Suchkov</surname><given-names>D. S.</given-names></name><name xml:lang="ru"><surname>Сучков</surname><given-names>Д. С.</given-names></name></name-alternatives><address><country country="FR">France</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Shumkova</surname><given-names>V. V.</given-names></name><name xml:lang="ru"><surname>Шумкова</surname><given-names>В. В.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Sitdikova</surname><given-names>V. R.</given-names></name><name xml:lang="ru"><surname>Ситдикова</surname><given-names>В. Р.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Silaeva</surname><given-names>V. M.</given-names></name><name xml:lang="ru"><surname>Силаева</surname><given-names>В. М.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Logashkin</surname><given-names>A. E.</given-names></name><name xml:lang="ru"><surname>Логашкин</surname><given-names>А. Е.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Mamleev</surname><given-names>A. R.</given-names></name><name xml:lang="ru"><surname>Мамлеев</surname><given-names>А. Р.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Popova</surname><given-names>Y. V.</given-names></name><name xml:lang="ru"><surname>Попова</surname><given-names>Я. В.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Sharipzyanova</surname><given-names>L. S.</given-names></name><name xml:lang="ru"><surname>Шарипзянова</surname><given-names>Л. С.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Minlebaev</surname><given-names>M. G.</given-names></name><name xml:lang="ru"><surname>Минлебаев</surname><given-names>М. Г.</given-names></name></name-alternatives><address><country country="FR">France</country></address><email>suchkov.dmitriy.ksu@gmail.com</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">INSERM UMR1249, INMED, Aix-Marseille University</institution></aff><aff><institution xml:lang="ru">Средиземноморский Институт Нейробиологии, ИНСЕРМ, Университет Экс-Марсель</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Kazan Federal University</institution></aff><aff><institution xml:lang="ru">Казанский (Приволжский) Федеральный Университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-10-24" publication-format="electronic"><day>24</day><month>10</month><year>2024</year></pub-date><volume>74</volume><issue>3</issue><fpage>369</fpage><lpage>382</lpage><history><date date-type="received" iso-8601-date="2025-02-02"><day>02</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Российская академия наук</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://innoscience.ru/0044-4677/article/view/652094">https://innoscience.ru/0044-4677/article/view/652094</self-uri><abstract xml:lang="en"><p>Application for Video Raw Record Acquisition – AVRawRA [ɔːvˈrɔːrə], is a software designed for acquisition and recording video from the cameras into raw binary and compressed video formats. AVRawRA allows using a wide range of camera devices in various neuroimaging applications. That provides the benefit of usage of expensive video registration equipment for several tasks with single software. The concept of presented software allows adding any camera device without rebuilding of the main code pipeline. Presented software has a user-friendly interface with interactive elements for regulating parameters of acquisition and recording in real time, without stopping video stream. Simultaneous real-time visualization, analysis and recording can be performed without loss of the efficiency and missed frames. AVRawRA supports recordings from camera devices with both external and internal triggers. The size of the saved video file is not restricted by the recording time and is limited only by the space on the storage. Our software is perfectly suited both for the neuroimaging applications and experiments with supplementary videoregistration. To summarize, AVRawRA represents a universal platform for usage of various videoregistration devices, performing real-time analysis and high-speed recordings in raw and compressed video formats.</p></abstract><trans-abstract xml:lang="ru"><p>Программа видеорегистрации в бинарном формате – AVRawRA [авро́ра] представляет собой программное обеспечение, предназначенное для сбора и записи видеосигнала с камер в виде двоичного кода или сжатого видеоформата. AVRawRA позволяет использовать широкий спектр видеокамер в различных нейровизуализационных задачах. Это дает преимущество использования дорогостоящего оборудования видеорегистрации для решения нескольких задач с помощью одного программного обеспечения. Концепция представленного программного обеспечения позволяет добавлять любое камерное устройство без перестройки основного конвейера кода. Представленное программное обеспечение имеет удобный интерфейс с интерактивными элементами для регулирования параметров получения и записи в реальном времени без остановки видеопотока. Одновременная визуализация, анализ и запись в реальном времени могут осуществляться без потери эффективности и пропуска кадров. AVRawRA поддерживает запись с камерных устройств как с внешними, так и с внутренними триггерами. Размер сохраняемого видеофайла не ограничивается временем записи и ограничен только местом на накопителе. Наше программное обеспечение прекрасно подходит как для нейровизуализационных исследований, так и для экспериментов с дополнительной видеорегистрацией. В заключение можно сказать, что AVRawRA представляет собой универсальную платформу для использования различных устройств видеорегистрации, проведения анализа в реальном времени и высокоскоростной записи в форматах бинарного и сжатого видео.</p></trans-abstract><kwd-group xml:lang="en"><kwd>video acquisition software</kwd><kwd>optical recording</kwd><kwd>neuroimaging</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>программное обеспечение для получения видеоизображений</kwd><kwd>видеорегистрация оптических явлений</kwd><kwd>нейровизуализация</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="en">Russian Science Foundation</institution></institution-wrap><institution-wrap><institution xml:lang="ru">Российский научный фонд</institution></institution-wrap></funding-source><award-id>22-25-00225</award-id></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Aitken P.G., Fayuk D., Somjen G.G., Turner D.A. 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