{"id":14949,"date":"2024-01-16T13:44:07","date_gmt":"2024-01-16T12:44:07","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&#038;p=14949"},"modified":"2025-01-10T10:50:54","modified_gmt":"2025-01-10T09:50:54","slug":"toward-the-human-nanoscale-connectome-neuronal-morphology-format-modeling-and-storage-requirement-estimation","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/toward-the-human-nanoscale-connectome-neuronal-morphology-format-modeling-and-storage-requirement-estimation\/","title":{"rendered":"Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-wieslaw-l-nowinski\">Wies\u0142aw L. Nowi\u0144ski<\/h2>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The human brain is an enormous scientific challenge. Knowledge of the complete map of neural connections (connectome) is essential for understanding how neural circuits encode information and the brain works in health and disease. Nanoscale connectomes are created for a few small animals but not for human. Moreover, existing models and data formats for neuron morphology description are \u201cmerely\u201d at the microscale.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">This work (1) formulates a complete set of morphologic parameters of the entire neuron at the nanoscale and introduces a new neuronal nanoscale data format; (2) proposes four geometric neuronal models: straight wireframe, enhanced wireframe, straight polygonal, and enhanced polygonal, based on the introduced neuronal format; and (3) estimates storage required for these neuronal models.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The straight wireframe model requires 18 petabytes (PB). The parabolic wireframe model needs 36&nbsp;PB and the cubic model 54&nbsp;PB. The straight polygonal model requires 24&nbsp;PB. The parabolic polygonal model needs 48&nbsp;PB and the cubic model 72&nbsp;PB.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">To my best knowledge, this is the first work providing for the human brain (1) the complete set of neuronal morphology parameters, (2) neuronal nanoscale data format, and (3) storage requirement estimation for volumetric and geometric neuronal morphology models at the micro and nanoscales. This work opens an avenue in human brain nanoscale modeling enabling the estimation of computing resources required for the calculation of the nanoscale connectome.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-031-36021-3_66\" target=\"_blank\" rel=\"noreferrer noopener\">10.1007\/978-3-031-36021-3_66<\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\">Proc. International Conference on Computational Sciences ICCS 2023, Prague Czechia, 3-5 July 2023, Lecture Notes in Computer Science 14074, Part II:691-698. <\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n\t\n    \n        \n\t\t\t<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-36021-3_66\" target=\"_blank\" rel= \"noopener noreferrer nofollow\" class=\"button primary \">\n\n\t\t\t\t<span>\n\t\t\t\t\tREAD HERE\n\t\t\t\t<\/span>\n\n\t\t\t<\/a>\n\n        \n    \n","protected":false},"excerpt":{"rendered":"<p>Journal paper in: ICCS 2023 (23rd International Conference on Computational Science), 2023.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[8],"research_team":[],"class_list":["post-14949","research","type-research","status-publish","hentry","research_type-publications"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/research\/toward-the-human-nanoscale-connectome-neuronal-morphology-format-modeling-and-storage-requirement-estimation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation\" \/>\n<meta property=\"og:description\" content=\"Journal paper in: ICCS 2023 (23rd International Conference on Computational Science), 2023.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/research\/toward-the-human-nanoscale-connectome-neuronal-morphology-format-modeling-and-storage-requirement-estimation\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-10T09:50:54+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/toward-the-human-nanoscale-connectome-neuronal-morphology-format-modeling-and-storage-requirement-estimation\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/research\\\/toward-the-human-nanoscale-connectome-neuronal-morphology-format-modeling-and-storage-requirement-estimation\\\/\",\"name\":\"Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation - 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Nowi\u0144ski<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-wieslaw-l-nowinski\">Wies\u0142aw L. Nowi\u0144ski<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-0vvUQE","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-IPK2WF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The human brain is an enormous scientific challenge. Knowledge of the complete map of neural connections (connectome) is essential for understanding how neural circuits encode information and the brain works in health and disease. Nanoscale connectomes are created for a few small animals but not for human. Moreover, existing models and data formats for neuron morphology description are \u201cmerely\u201d at the microscale.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The human brain is an enormous scientific challenge. Knowledge of the complete map of neural connections (connectome) is essential for understanding how neural circuits encode information and the brain works in health and disease. Nanoscale connectomes are created for a few small animals but not for human. Moreover, existing models and data formats for neuron morphology description are \u201cmerely\u201d at the microscale.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-s4AEUu","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">This work (1) formulates a complete set of morphologic parameters of the entire neuron at the nanoscale and introduces a new neuronal nanoscale data format; (2) proposes four geometric neuronal models: straight wireframe, enhanced wireframe, straight polygonal, and enhanced polygonal, based on the introduced neuronal format; and (3) estimates storage required for these neuronal models.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This work (1) formulates a complete set of morphologic parameters of the entire neuron at the nanoscale and introduces a new neuronal nanoscale data format; (2) proposes four geometric neuronal models: straight wireframe, enhanced wireframe, straight polygonal, and enhanced polygonal, based on the introduced neuronal format; and (3) estimates storage required for these neuronal models.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-wruuek","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The straight wireframe model requires 18 petabytes (PB). The parabolic wireframe model needs 36&nbsp;PB and the cubic model 54&nbsp;PB. The straight polygonal model requires 24&nbsp;PB. The parabolic polygonal model needs 48&nbsp;PB and the cubic model 72&nbsp;PB.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The straight wireframe model requires 18 petabytes (PB). The parabolic wireframe model needs 36&nbsp;PB and the cubic model 54&nbsp;PB. The straight polygonal model requires 24&nbsp;PB. The parabolic polygonal model needs 48&nbsp;PB and the cubic model 72&nbsp;PB.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-XiRyIm","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">To my best knowledge, this is the first work providing for the human brain (1) the complete set of neuronal morphology parameters, (2) neuronal nanoscale data format, and (3) storage requirement estimation for volumetric and geometric neuronal morphology models at the micro and nanoscales. This work opens an avenue in human brain nanoscale modeling enabling the estimation of computing resources required for the calculation of the nanoscale connectome.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">To my best knowledge, this is the first work providing for the human brain (1) the complete set of neuronal morphology parameters, (2) neuronal nanoscale data format, and (3) storage requirement estimation for volumetric and geometric neuronal morphology models at the micro and nanoscales. This work opens an avenue in human brain nanoscale modeling enabling the estimation of computing resources required for the calculation of the nanoscale connectome.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-o9xNKb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-ygRS44","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-031-36021-3_66\" target=\"_blank\" rel=\"noreferrer noopener\">10.1007\/978-3-031-36021-3_66<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>DOI<\/strong>: <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-031-36021-3_66\" target=\"_blank\" rel=\"noreferrer noopener\">10.1007\/978-3-031-36021-3_66<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-ygRS44","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Proc. International Conference on Computational Sciences ICCS 2023, Prague Czechia, 3-5 July 2023, Lecture Notes in Computer Science 14074, Part II:691-698. <\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Proc. International Conference on Computational Sciences ICCS 2023, Prague Czechia, 3-5 July 2023, Lecture Notes in Computer Science 14074, Part II:691-698. <\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-o9xNKb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"acf\/button","attrs":{"title":"READ HERE","button_type":"link","url":"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-36021-3_66","button_style":"primary","target":"_blank","button_extra_classes":""},"innerBlocks":[],"innerHTML":"","innerContent":[]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14949","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":5,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14949\/revisions"}],"predecessor-version":[{"id":20645,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14949\/revisions\/20645"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=14949"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=14949"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=14949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}