{"id":688,"date":"2017-08-22T13:00:51","date_gmt":"2017-08-22T17:00:51","guid":{"rendered":"http:\/\/tasharp.com\/?p=688"},"modified":"2017-10-22T17:36:36","modified_gmt":"2017-10-22T21:36:36","slug":"fast-assessments-of-3d-shapes-within-cell-populations","status":"publish","type":"post","link":"https:\/\/tasharp.com\/index.php\/fast-assessments-of-3d-shapes-within-cell-populations\/","title":{"rendered":"Fast assessments of 3D shapes within cell populations"},"content":{"rendered":"<p>Within biological tissues, cell shape may be indicative of the chemical and mechanical micro-environment.\u00a0 Experiments on isotropic and homogeneous packings of cells, as shown below, connect the 3D shapes with tissue properties.\u00a0 Unfortunately, quantitatively measuring 3D shapes of cells is burdensome, requiring high-quality confocal microscopy and image post-processing.\u00a0 Another approach to quantifying 3D cell shapes uses 2D imagery without ever reconstructing 3D shapes.\u00a0 Instead,\u00a0cell-vertex models with quasi realistic geometry can be used to\u00a0 generate mappings between 3D shapes of cells and the ensemble of 2D shapes seen in a single image.\u00a0 \u00a0Researchers may now trace cells in simple 2D imagery to determine the distribution of shapes, and compare them to the model to determine the ensemble of 3D cell shapes.<\/p><p><a href=\"http:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping.png\"><img loading=\"lazy\" decoding=\"async\" data-attachment-id=\"958\" data-permalink=\"https:\/\/tasharp.com\/index.php\/fast-assessments-of-3d-shapes-within-cell-populations\/mapping\/\" data-orig-file=\"https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping.png\" data-orig-size=\"1841,883\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"mapping\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping-300x144.png\" data-large-file=\"https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping-1024x491.png\" class=\"aligncenter wp-image-958 size-medium\" src=\"http:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping-300x144.png\" alt=\"\" width=\"300\" height=\"144\" srcset=\"https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping-300x144.png 300w, https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping-768x368.png 768w, https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping-1024x491.png 1024w, https:\/\/tasharp.com\/wp-content\/uploads\/2017\/10\/mapping.png 1841w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p><p>We are working to release a software package to provide these 3D shape estimates from traces of 2D cells.\u00a0 This method has allowed us to compare predictions from the 3D cell vertex model with experimental measurements.<\/p><p>&nbsp;<\/p><p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Within biological tissues, cell shape may be indicative of the chemical and mechanical micro-environment.\u00a0 Experiments on isotropic and homogeneous packings of cells, as shown below, connect the 3D shapes with tissue properties.\u00a0 Unfortunately, quantitatively measuring 3D shapes of cells is burdensome, requiring high-quality confocal microscopy and image post-processing.\u00a0 Another approach to quantifying 3D cell shapes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[15,17,11],"tags":[],"class_list":["post-688","post","type-post","status-publish","format-standard","hentry","category-biophysics","category-computing","category-physics"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p5Yxym-b6","jetpack-related-posts":[],"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/posts\/688","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/comments?post=688"}],"version-history":[{"count":4,"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/posts\/688\/revisions"}],"predecessor-version":[{"id":973,"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/posts\/688\/revisions\/973"}],"wp:attachment":[{"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/media?parent=688"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/categories?post=688"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tasharp.com\/index.php\/wp-json\/wp\/v2\/tags?post=688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}