{"id":54,"date":"2024-04-30T10:30:57","date_gmt":"2024-04-30T14:30:57","guid":{"rendered":"https:\/\/sites.temple.edu\/queisser\/?page_id=54"},"modified":"2024-05-09T13:55:53","modified_gmt":"2024-05-09T17:55:53","slug":"densvis","status":"publish","type":"page","link":"https:\/\/sites.temple.edu\/queisser\/tools\/densvis\/","title":{"rendered":"DensVis"},"content":{"rendered":"\n<h1 class=\"wp-block-heading alignfull has-text-align-center has-color-intro-widgets-text-mod-background-color has-background\">DensVis<\/h1>\n\n\n\n<div class=\"wp-block-columns alignfull\">\n<div class=\"wp-block-column\">\n<h5 class=\"wp-block-heading has-text-align-right\">Visualizing and analyzing neuronal networks<\/h5>\n\n\n\n<p class=\"has-text-align-right\" style=\"font-size:16px\">Neuron classification is an important component in analyzing network structure and quantifying the effect of neuron topology on signal processing. The Density Visualization Pipeline (DVP) computes, visualizes and quantifies the density distribution, i.e., the \u201cmass\u201d of interneurons. The DVP can be coupled to computational studies of the behavior of neurons and networks, in which network topology information is derived from DVP information. The DVP reads common neuromorphological file formats, e.g., Neurolucida XML files, NeuroMorpho.org SWC files and plain ASCII files. Full 3D visualization and projections of the density to 1D and 2D manifolds are supported by the DVP.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-d445cf74 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/github.com\/NeuroBox3D\/VRL-Density-Vis\">DensVis on github<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"584\" src=\"https:\/\/sites.temple.edu\/queisser\/files\/2024\/05\/Densvis-1024x584.png\" alt=\"\" class=\"wp-image-320\" style=\"width:537px;height:auto\" srcset=\"https:\/\/sites.temple.edu\/queisser\/files\/2024\/05\/Densvis-1024x584.png 1024w, https:\/\/sites.temple.edu\/queisser\/files\/2024\/05\/Densvis-300x171.png 300w, https:\/\/sites.temple.edu\/queisser\/files\/2024\/05\/Densvis-768x438.png 768w, https:\/\/sites.temple.edu\/queisser\/files\/2024\/05\/Densvis.png 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<div class=\"entry-summary\">\nDensVis Visualizing and analyzing neuronal networks Neuron classification is an important component in analyzing network structure and quantifying the effect of neuron topology on signal processing. The Density Visualization Pipeline (DVP) computes, visualizes and quantifies the density distribution, i.e., the&hellip;\n<\/div>\n<div class=\"link-more\"><a href=\"https:\/\/sites.temple.edu\/queisser\/tools\/densvis\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &ldquo;DensVis&rdquo;<\/span>&hellip;<\/a><\/div>\n","protected":false},"author":35679,"featured_media":0,"parent":11,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/no-intro.php","meta":{"footnotes":""},"class_list":["post-54","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/pages\/54","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/users\/35679"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/comments?post=54"}],"version-history":[{"count":5,"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/pages\/54\/revisions"}],"predecessor-version":[{"id":323,"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/pages\/54\/revisions\/323"}],"up":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/pages\/11"}],"wp:attachment":[{"href":"https:\/\/sites.temple.edu\/queisser\/wp-json\/wp\/v2\/media?parent=54"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}