{"id":84625,"date":"2020-06-23T16:56:20","date_gmt":"2020-06-23T13:56:20","guid":{"rendered":"https:\/\/www.technion.ac.il\/blog\/autonomous-microscope\/"},"modified":"2020-06-23T16:56:20","modified_gmt":"2020-06-23T13:56:20","slug":"autonomous-microscope","status":"publish","type":"post","link":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/","title":{"rendered":"Autonomous Microscope"},"content":{"rendered":"<p><strong>Technion researchers have developed an innovative microscopic method based on deep learning and self-design of the optical system, enabling the study of dynamic 3D images at super-resolution. The ability to study the dynamics in whole cells over such times scales was rarely possible until now.\u00a0\u00a0\u00a0<\/strong><\/p>\n<p><center><br \/>\n<iframe loading=\"lazy\" style=\"border: none; overflow: hidden;\" src=\"https:\/\/www.facebook.com\/plugins\/video.php?href=https%3A%2F%2Fwww.facebook.com%2FTechnionLive%2Fvideos%2F696513104519871%2F&amp;show_text=0&amp;width=560\" width=\"560\" height=\"395\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/center><br \/>\n<span style=\"font-weight: 400;\">Researchers at Technion \u2013 Israel Institute of Technology present a breakthrough in 3D super-resolution microscopy of cells in the journal <\/span><i><span style=\"font-weight: 400;\">Nature Methods<\/span><\/i><span style=\"font-weight: 400;\">. The innovative system significantly shortens 3D image acquisition time by using a neural network and deep learning. The researchers experimentally demonstrated system efficiency in 3D mapping of mitochondria (the cell&#8217;s energy maker) and volumetric imaging of fluorescently labeled telomeres (chromosome edge regions, which are responsible, among other things, for cell division in the body) in live cells.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The research was carried out by Asst. Prof. Yoav Shechtman and Ph.D. student Elias Nehme, of the Faculty of Biomedical Engineering together with Asst. Prof. Tomer Michaeli of the Viterbi Faculty of Electrical Engineering.<\/span><\/p>\n<figure id=\"attachment_40319\" aria-describedby=\"caption-attachment-40319\" style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814.jpg\"><img decoding=\"async\" id=\"longdesc-return-40319\" class=\"size-thumbnail wp-image-40319\" tabindex=\"-1\" src=\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" longdesc=\"https:\/\/www.technion.ac.il?longdesc=40319&amp;referrer=40316\" \/><\/a><figcaption id=\"caption-attachment-40319\" class=\"wp-caption-text\">Asst. Prof. Yoav Shechtman<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">A major challenge in biology today is the super-resolution mapping of dynamic biological processes in living cells. That is, mapping with a resolution 10 times greater than that of a standard optical microscope.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Microscopes, as a rule, produce two-dimensional images. Information is innately missing from such images as the world is three-dimensional. Currently, 3D images are usually obtained through layer scanning \u2013 the imaging of different layers in the sample and their computerized integration into a 3D image. This process is problematic as it requires a long scanning time, during which the object being examined must be static. In addition, in classical optical microscopy, the level of resolution (separation capacity) is limited by the &#8220;diffraction limit&#8221; formulated by German physicist Ernst Karl Abbe in 1873.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Enter DeepSTORM3D \u2013 a super-resolution 3D mapping system developed by the researchers. According to Asst. Prof. Yoav Shechtman, who led the development of DeepSTORM3D, &#8220;To get depth information from a 2D image we use wavefront shaping \u2013 an optical method that encodes the depth of each molecule in the image obtained on the camera. The problem with this method is that if several molecules are close by, their images overlap on the camera, and this drastically impairs spatial and temporal resolution, to the point that some samples cannot produce useful images at all.\u201d<\/span><\/p>\n<figure id=\"attachment_40320\" aria-describedby=\"caption-attachment-40320\" style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/3-1-1-e1592937060402.jpg\"><img decoding=\"async\" id=\"longdesc-return-40320\" class=\"size-thumbnail wp-image-40320\" tabindex=\"-1\" src=\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/3-1-1-e1592937060402-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" longdesc=\"https:\/\/www.technion.ac.il?longdesc=40320&amp;referrer=40316\" \/><\/a><figcaption id=\"caption-attachment-40320\" class=\"wp-caption-text\">Asst. Prof. Tomer Michaeli<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">To address this challenge, researchers harnessed the field of deep learning and developed an artificial neural network \u2013 a system that performs computational tasks at unprecedented performance and speed. Together with Asst. Prof. Tomer Michaeli, an expert in this field, the researchers developed a neural network able to generate and train itself using a large number of virtual samples, and then produce super-resolution 3D images from microscopy data of real samples.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">According to Shechtman, &#8220;The new technology has advanced us towards realizing one of the holy grails of biological research \u2013 mapping biological processes in living cells in super-resolution. It is important that the life sciences benefit from our instrumentation, and we maintain close relationships with biologists who explain their needs to us.&#8221;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Shechtman used the neural networks not only to analyze the images but to also improve the instrumentation. &#8220;This is perhaps the most exciting direction to emerge from the current development &#8211; the neural network has provided us with the optimal physical design of the optical system. In other words &#8211; the computer not only analyzes the data but has shown us how to build the microscope. This concept can also be applied in non-microscopy-related fields, and we are working on it.&#8221;\u00a0<\/span><\/p>\n<figure id=\"attachment_40321\" aria-describedby=\"caption-attachment-40321\" style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/4-1-1.jpg\"><img decoding=\"async\" id=\"longdesc-return-40321\" class=\"size-thumbnail wp-image-40321\" tabindex=\"-1\" src=\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/4-1-1-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" longdesc=\"https:\/\/www.technion.ac.il?longdesc=40321&amp;referrer=40316\" \/><\/a><figcaption id=\"caption-attachment-40321\" class=\"wp-caption-text\">Ph.D. student Elias Nehme<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">Research participants include Dr. Daniel Freedman from Google Research, and researchers and students from the Faculty of Biomedical Engineering, the Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering, and the Russell Berrie Nanotechnology Institute: Racheli Gordon, Boris Ferdman, Dr. Lucien E. Weiss, Dr. Onit Alalouf, Tal Naor, and Reut Orange. The research was conducted with the support of the European Research Council Horizon 2020 Program, Google, the Israel Science Foundation and the Zuckerman Foundation. Asst. Prof. Yoav Shechtman is a Zuckerman Faculty Scholar and Dr. Lucien E. Weiss is a Zuckerman Postdoctoral Fellow.<\/span><\/p>\n<p><a href=\"https:\/\/www.nature.com\/articles\/s41592-020-0853-5\"><b>Click here<\/b><\/a><b> for the paper in <\/b><span style=\"text-decoration: underline;\"><a href=\"https:\/\/eur01.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41592-020-0853-5&amp;data=02%7C01%7Clilachl%40technion.ac.il%7C57f88d70b7ba4b4818dc08d80c3106ae%7Cf1502c4cee2e411c9715c855f6753b84%7C1%7C0%7C637272751986797902&amp;sdata=W%2FUN2Opq95zvv0fIMv%2FeOHwa1S%2BDmuUO6BpPftsc6yY%3D&amp;reserved=0\"><b>Nature Methods<\/b><\/a><a href=\"https:\/\/www.youtube.com\/watch?v=5RXniZWBTG8&amp;feature=youtu.be\">\u00a0<\/a><\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Technion researchers have developed an innovative microscopic method based on deep learning and self-design of the optical system, enabling the study of dynamic 3D images at super-resolution. The ability to study the dynamics in whole cells over such times scales was rarely possible until now.\u00a0\u00a0\u00a0 Researchers at Technion \u2013 Israel Institute of Technology present a&hellip; <a class=\"continue\" href=\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/\">Continue Reading<span> Autonomous Microscope<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-84625","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Autonomous Microscope - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc<\/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:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Autonomous Microscope - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc\" \/>\n<meta property=\"og:description\" content=\"Technion researchers have developed an innovative microscopic method based on deep learning and self-design of the optical system, enabling the study of dynamic 3D images at super-resolution. The ability to study the dynamics in whole cells over such times scales was rarely possible until now.\u00a0\u00a0\u00a0 Researchers at Technion \u2013 Israel Institute of Technology present a&hellip; Continue Reading Autonomous Microscope\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/\" \/>\n<meta property=\"og:site_name\" content=\"\u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc\" \/>\n<meta property=\"article:published_time\" content=\"2020-06-23T13:56:20+00:00\" \/>\n<meta name=\"author\" content=\"shlomi ben-oz\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"shlomi ben-oz\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/\",\"url\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/\",\"name\":\"Autonomous Microscope - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc\",\"isPartOf\":{\"@id\":\"https:\/\/www.technion.ac.il\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg\",\"datePublished\":\"2020-06-23T13:56:20+00:00\",\"author\":{\"@id\":\"https:\/\/www.technion.ac.il\/en\/#\/schema\/person\/d65b78b7a7446bdf9fb69078573b8320\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#primaryimage\",\"url\":\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg\",\"contentUrl\":\"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home Page\",\"item\":\"https:\/\/www.technion.ac.il\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Autonomous Microscope\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.technion.ac.il\/en\/#website\",\"url\":\"https:\/\/www.technion.ac.il\/en\/\",\"name\":\"\u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.technion.ac.il\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.technion.ac.il\/en\/#\/schema\/person\/d65b78b7a7446bdf9fb69078573b8320\",\"name\":\"shlomi ben-oz\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.technion.ac.il\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/96b13158d164281df14ad8583ec2cb64?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/96b13158d164281df14ad8583ec2cb64?s=96&d=mm&r=g\",\"caption\":\"shlomi ben-oz\"},\"url\":\"https:\/\/www.technion.ac.il\/en\/blog\/author\/ben-ozshlomitechnion-ac-il\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Autonomous Microscope - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/","og_locale":"en_US","og_type":"article","og_title":"Autonomous Microscope - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc","og_description":"Technion researchers have developed an innovative microscopic method based on deep learning and self-design of the optical system, enabling the study of dynamic 3D images at super-resolution. The ability to study the dynamics in whole cells over such times scales was rarely possible until now.\u00a0\u00a0\u00a0 Researchers at Technion \u2013 Israel Institute of Technology present a&hellip; Continue Reading Autonomous Microscope","og_url":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/","og_site_name":"\u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc","article_published_time":"2020-06-23T13:56:20+00:00","author":"shlomi ben-oz","twitter_card":"summary_large_image","twitter_misc":{"Written by":"shlomi ben-oz","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/","url":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/","name":"Autonomous Microscope - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc","isPartOf":{"@id":"https:\/\/www.technion.ac.il\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#primaryimage"},"image":{"@id":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#primaryimage"},"thumbnailUrl":"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg","datePublished":"2020-06-23T13:56:20+00:00","author":{"@id":"https:\/\/www.technion.ac.il\/en\/#\/schema\/person\/d65b78b7a7446bdf9fb69078573b8320"},"breadcrumb":{"@id":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#primaryimage","url":"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg","contentUrl":"https:\/\/www.technion.ac.il\/wp-content\/uploads\/2020\/06\/2-4-1-e1592936956814-150x150.jpg"},{"@type":"BreadcrumbList","@id":"https:\/\/www.technion.ac.il\/en\/blog\/autonomous-microscope\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home Page","item":"https:\/\/www.technion.ac.il\/en\/"},{"@type":"ListItem","position":2,"name":"Autonomous Microscope"}]},{"@type":"WebSite","@id":"https:\/\/www.technion.ac.il\/en\/#website","url":"https:\/\/www.technion.ac.il\/en\/","name":"\u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.technion.ac.il\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.technion.ac.il\/en\/#\/schema\/person\/d65b78b7a7446bdf9fb69078573b8320","name":"shlomi ben-oz","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.technion.ac.il\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/96b13158d164281df14ad8583ec2cb64?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/96b13158d164281df14ad8583ec2cb64?s=96&d=mm&r=g","caption":"shlomi ben-oz"},"url":"https:\/\/www.technion.ac.il\/en\/blog\/author\/ben-ozshlomitechnion-ac-il\/"}]}},"_links":{"self":[{"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/posts\/84625","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/comments?post=84625"}],"version-history":[{"count":0,"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/posts\/84625\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/media?parent=84625"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/categories?post=84625"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.technion.ac.il\/en\/wp-json\/wp\/v2\/tags?post=84625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}