{"id":12130,"date":"2021-01-13T09:30:00","date_gmt":"2021-01-13T11:30:00","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/?p=12130"},"modified":"2022-10-18T08:09:26","modified_gmt":"2022-10-18T11:09:26","slug":"pyscratch-spatial-and-temporal-information-from-scratch-assays","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/hu\/pyscratch-ter-es-tempo-informacio-az-osszekarcolasi-probak\/","title":{"rendered":"PyScratch: Scratch Assays t\u00e9rbeli \u00e9s id\u0151beli inform\u00e1ci\u00f3inak feldolgoz\u00e1s\u00e1ra szolg\u00e1l\u00f3 \u00faj eszk\u00f6z"},"content":{"rendered":"

A PyScratch egy \u00faj, ny\u00edlt forr\u00e1sk\u00f3d\u00fa, Python nyelven implement\u00e1lt szoftver a migr\u00e1ci\u00f3s adatok elemz\u00e9s\u00e9hez, amely felhaszn\u00e1l\u00f3bar\u00e1t fel\u00fclettel rendelkezik, amely lehet\u0151v\u00e9 teszi a kev\u00e9s vagy semmilyen programoz\u00e1si ismerettel nem rendelkez\u0151 tud\u00f3sok sz\u00e1m\u00e1ra a haszn\u00e1lat\u00e1t. <\/p>\n\n\n\n

A szoftvert a Campinasi Egyetem NanoCell Interactions laborat\u00f3rium\u00e1nak h\u00e1rom brazil tud\u00f3s\u00e1nak egy\u00fcttm\u0171k\u00f6d\u00e9s\u00e9ben tervezt\u00e9k 2017-ben. <\/p>\n\n\n\n

Ezeknek a tud\u00f3soknak a sz\u00fcks\u00e9gszer\u0171s\u00e9g\u00e9b\u0151l sz\u00fcletett, \u00e9s ma a szoftver c\u00e9lja a kutat\u00f3k napi gyakorlat\u00e1nak megk\u00f6nny\u00edt\u00e9se, a k\u00e9zi elemz\u00e9s kiz\u00e1r\u00e1sa, a reproduk\u00e1lhat\u00f3s\u00e1g n\u00f6vel\u00e9se \u00e9s az emberi hib\u00e1k minimaliz\u00e1l\u00e1sa.<\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

A k\u00e9pelemz\u00e9s az egyik legfontosabb m\u00f3dszer, amelyet a tud\u00f3sok k\u00fcl\u00f6nb\u00f6z\u0151 m\u00f3dszertanokban haszn\u00e1lnak az eredm\u00e9nyek elemz\u00e9s\u00e9re. <\/p>\n\n\n\n

Az elm\u00falt \u00e9vekben nemcsak az automatiz\u00e1lt mikroszk\u00f3pok haszn\u00e1lata n\u0151tt, hanem a megszerzett adatok \u00f6sszetetts\u00e9ge is. <\/p>\n\n\n\n

A tud\u00f3sok munk\u00e1j\u00e1nak r\u00e9sze, hogy felfedezz\u00e9k, hogyan kezeljenek egy \u00fajfajta inform\u00e1ci\u00f3t, emellett elemezz\u00e9k \u00e9s feldolgozz\u00e1k az adatokat. <\/p>\n\n\n\n

Ehhez a tud\u00f3soknak j\u00f3 \u00e9s speci\u00e1lis eszk\u00f6z\u00f6kre van sz\u00fcks\u00e9g\u00fck, hogy az \u00f6sszes adatot megfelel\u0151en ki tudj\u00e1k nyerni \u00e9s \u00e9rtelmezni tudj\u00e1k.<\/p>\n\n\n\n

A PyScratch-ot el\u0151sz\u00f6r az\u00e9rt hozt\u00e1k l\u00e9tre, hogy seg\u00edtsen Fernanda Garcia-Fossa biol\u00f3gus kutat\u00f3nak a migr\u00e1ci\u00f3s vizsg\u00e1latokb\u00f3l sz\u00e1rmaz\u00f3 hatalmas mennyis\u00e9g\u0171 adat elemz\u00e9s\u00e9ben. <\/p>\n\n\n\n

\"Elv\u00e9geztem a r\u00e1kos sejtek vakar\u00e1s\u00e1t, \u00e9s 48 \u00f3r\u00e1n \u00e1t inkub\u00e1ltam a berendez\u00e9sben, 15 percenk\u00e9nt k\u00e9peket k\u00e9sz\u00edtettem, \u00e9s csak egy k\u00eds\u00e9rlet v\u00e9g\u00e9re k\u00f6r\u00fclbel\u00fcl ezer k\u00e9pem volt, amit megn\u00e9zhettem \u00e9s elemezhettem! <\/p>\n\n\n\n

K\u00e9ptelens\u00e9g volt k\u00e9zzel elv\u00e9gezni\" - mondja Garcia-Fossa. A probl\u00e9ma megold\u00e1s\u00e1hoz Garcia-Fossa a t\u00e1rs\u00e1hoz, a fizikus Vladimir Gaalhoz fordult seg\u00edts\u00e9g\u00e9rt, aki abban az id\u0151ben \u00e9ppen Pythont tanult, ami remek lehet\u0151s\u00e9g volt arra, hogy ezt a tud\u00e1st a gyakorlatba \u00fcltesse.<\/p>\n\n\n\n

Teh\u00e1t mindketten dolgoztak a megold\u00e1son egy Python rutinon kereszt\u00fcl, amely felismerte a karcolt ter\u00fcleteket, \u00e9s egy csv f\u00e1jlba export\u00e1lta. <\/p>\n\n\n\n

\"Az id\u0151, \u00e9rezt\u00fck a sz\u00fcks\u00e9gess\u00e9g\u00e9t, hogy dolgozzon ki egy felhaszn\u00e1l\u00f3i fel\u00fclet, \u00edgy m\u00e9g k\u00f6nnyebben haszn\u00e1lhat\u00f3, \u00edgy tudtuk k\u00f6zz\u00e9tenni a szoftvert minden kutat\u00f3, hogy sz\u00fcks\u00e9g van a haszn\u00e1latra is\", mondja Garcia-Fossa a szoftver cikket, hogy akkor n\u00e9zd meg, hogy ki ide kattintva<\/a>.<\/p>\n\n\n\n

Garcia-Fossa azt is elmondja, hogy sok\u00e1ig tartott, am\u00edg a k\u00e9pek alapj\u00e1n felismert\u00e9k \u00e9s meghat\u00e1rozt\u00e1k a migr\u00e1ci\u00f3s ter\u00fcletet, mivel a k\u00e9pek a f\u00e9ny, a f\u00f3kusz \u00e9s a kontraszt miatt nagyon elt\u00e9rhetnek egym\u00e1st\u00f3l, \u00e9s a ma haszn\u00e1lt verzi\u00f3 m\u00e1r el\u00e9g j\u00f3l elemez. <\/p>\n\n\n\n

Mindazon\u00e1ltal m\u00e9g mindig dolgoznak a szoftveren, \u00faj \u00e9s jobb verzi\u00f3kat ind\u00edtva, mivel a k\u00f6zz\u00e9tett cikk a felhaszn\u00e1l\u00f3k ig\u00e9nyei miatt felvetett n\u00e9h\u00e1ny fejleszt\u00e9si ig\u00e9nyt.<\/p>\n\n\n\n

A szoftver teljes\u00edtm\u00e9ny\u00e9nek valid\u00e1l\u00e1s\u00e1ra haszn\u00e1lt pr\u00f3ba, a migr\u00e1ci\u00f3s pr\u00f3ba, vagy karcol\u00e1sos pr\u00f3ba, vagy sebgy\u00f3gyul\u00e1si pr\u00f3ba a biol\u00f3gi\u00e1ban \u00e1ltal\u00e1nosan haszn\u00e1lt pr\u00f3ba, mivel lehet\u0151v\u00e9 teszi az \u00e9lettani \u00e9s k\u00f3ros sejtes esem\u00e9nyek m\u00f6g\u00f6ttes mechanizmus\u00e1nak elemz\u00e9s\u00e9t. <\/p>\n\n\n\n

A sebgy\u00f3gyul\u00e1s tanulm\u00e1nyoz\u00e1sa az angiogenezis \u00e9s a tumorfejl\u0151d\u00e9s mellett a fejl\u0151d\u00e9s \u00e9s a sz\u00f6veti modellez\u00e9s meg\u00e9rt\u00e9s\u00e9nek fontos m\u00f3dja. <\/p>\n\n\n\n

Ha a vizsg\u00e1latot k\u00e9t dimenzi\u00f3ban v\u00e9gezz\u00fck, akkor m\u00e9rhet\u0151, hogy a sejtek milyen gyorsan reag\u00e1lnak a sebre, a meghat\u00e1rozott ter\u00fcletet lefedve.<\/p>\n\n\n\n

M\u00e1s szavakkal, a k\u00eds\u00e9rlet alapvet\u0151en az, hogy egy plakettben l\u00e9v\u0151 monor\u00e9tegben l\u00e9v\u0151 \u00f6sszefoly\u00f3 sejteken r\u00e9st hozzunk l\u00e9tre. <\/p>\n\n\n\n

Id\u0151vel a sejtek elkezdenek v\u00e1ndorolni, hogy kit\u00f6lts\u00e9k a r\u00e9st, \u00e9s a sejtek v\u00e1ndorl\u00e1si sebess\u00e9ge m\u00e9rhet\u0151. <\/p>\n\n\n\n

Ezut\u00e1n a sejtv\u00e1ndorl\u00e1si sebess\u00e9g m\u00e9r\u00e9s\u00e9hez k\u00e9peket kell k\u00e9sz\u00edteni\u00fck, m\u00e9ghozz\u00e1 egy csom\u00f3 k\u00e9pet, ami viszont az elemz\u00e9s probl\u00e9m\u00e1s l\u00e9p\u00e9se, mert k\u00e9zi m\u00e9r\u00e9st ig\u00e9nyel. <\/p>\n\n\n\n

Szerencs\u00e9re ma m\u00e1r rengeteg technol\u00f3gia \u00e1ll rendelkez\u00e9s\u00fcnkre, hogy jav\u00edtsuk \u00e9s korszer\u0171s\u00edts\u00fck az elemz\u00e9si cs\u0151vezet\u00e9k\u00fcnket, lehet\u0151v\u00e9 t\u00e9ve a tud\u00f3sok sz\u00e1m\u00e1ra, hogy jobb \u00e9s szem\u00e9lyre szabottabb m\u00f3dszereket alkalmazzanak az eredm\u00e9ny el\u00e9r\u00e9s\u00e9hez. <\/p>\n\n\n\n

Ahogy Garcia-Fossa \u00e9s Gaal tette.<\/p>\n\n\n\n

Ma m\u00e1r m\u00e1s kereskedelmi \u00e9s nem kereskedelmi eszk\u00f6z\u00f6k is rendelkez\u00e9sre \u00e1llnak a sebter\u00fclet feldolgoz\u00e1s\u00e1hoz. <\/p>\n\n\n\n

De ezek nem olyan egyszer\u0171ek, mint a PyScratch, \u00e9s a felhaszn\u00e1l\u00f3t\u00f3l bizonyos szint\u0171 programoz\u00e1st ig\u00e9nyelnek, \u00e9s a felhaszn\u00e1l\u00f3 teljes idej\u0171 figyelm\u00e9t is megk\u00f6vetelik, \u00edgy az elemz\u00e9s hajlamosabb az emberi hib\u00e1kra, valamint a kutat\u00f3nak az \u00f6sszes k\u00e9p \u00e9s adat elemz\u00e9s\u00e9re ford\u00edtott id\u0151re.<\/p>\n\n\n\n

A cikkben a szerz\u0151k elmagyar\u00e1zz\u00e1k a szoftver m\u0171k\u00f6d\u00e9s\u00e9t. A k\u00eds\u00e9rlet sor\u00e1n k\u00e9sz\u00edtett \u00f6sszes k\u00e9pb\u0151l a felhaszn\u00e1l\u00f3 egy vessz\u0151vel elv\u00e1lasztott \u00e9rt\u00e9kek (.cvs) f\u00e1jlt kap, egy olyan kimenetet, amely t\u00e1bl\u00e1zatos adatokat t\u00e1rol egyszer\u0171 sz\u00f6vegben. <\/p>\n\n\n\n

A felhaszn\u00e1l\u00f3 ezut\u00e1n a szok\u00e1sos rutin szerint feldolgozhatja az adatokat. Garcia-Fossa szerint a program elengedhetetlen volt a mesterszakos diplomamunk\u00e1j\u00e1hoz: \"A szoftver a bemeneti adatokat olyan \u00e9rt\u00e9kk\u00e9 alak\u00edtja \u00e1t, amelyeknek biol\u00f3giai \u00e9rtelme van, mint p\u00e9ld\u00e1ul a sejtv\u00e1ndorl\u00e1s sebess\u00e9ge. <\/p>\n\n\n\n

A PyScratch-nak k\u00f6sz\u00f6nhet\u0151en jobban tudtam elemezni a nanor\u00e9szecsk\u00e9m hat\u00e1s\u00e1t a prosztatar\u00e1kos sejtekre, \u00e9s meg tudtam m\u00e9rni a sejtv\u00e1ndorl\u00e1s sebess\u00e9g\u00e9t, valamint a j\u00f3 z\u00e1r\u00f3d\u00e1s pontos idej\u00e9t.\"<\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

Ha ki szeretn\u00e9 pr\u00f3b\u00e1lni a PyScratch-ot a kutat\u00e1saihoz, a szoftver szabadon hozz\u00e1f\u00e9rhet\u0151, \u00e9s a tudom\u00e1nyos k\u00f6z\u00f6ss\u00e9g minden tagja haszn\u00e1lhatja, seg\u00edtve Garcia-Fossa \u00e9s Gaal munk\u00e1j\u00e1t a program tov\u00e1bbfejleszt\u00e9s\u00e9ben \u00e9s t\u00f6k\u00e9letes\u00edt\u00e9s\u00e9ben.<\/p>\n\n\n\n

 ____<\/p>\n\n\n\n

Milyenek az eddigi Mind the Graph tapasztalataid? Seg\u00edtsen nek\u00fcnk, hogy jav\u00edthassuk platformunkat az \u00d6n \u00e9s sok m\u00e1s tud\u00f3s sz\u00e1m\u00e1ra az Mind the Graph \u00e9rt\u00e9kel\u00e9s\u00e9nek meg\u00edr\u00e1s\u00e1val. Mes\u00e9ljen nek\u00fcnk a tapasztalatair\u00f3l, csak kattintson itt<\/a>. <\/p>","protected":false},"excerpt":{"rendered":"

A PyScratch egy \u00faj, ny\u00edlt forr\u00e1sk\u00f3d\u00fa, Python nyelven implement\u00e1lt szoftver a migr\u00e1ci\u00f3s adatok elemz\u00e9s\u00e9hez, amely felhaszn\u00e1l\u00f3bar\u00e1t fel\u00fclettel rendelkezik, amely lehet\u0151v\u00e9 teszi a kev\u00e9s vagy semmilyen programoz\u00e1si ismerettel nem rendelkez\u0151 tud\u00f3sok sz\u00e1m\u00e1ra a haszn\u00e1lat\u00e1t. A szoftvert a Campinasi Egyetem NanoCell Interactions laborat\u00f3rium\u00e1nak h\u00e1rom brazil tud\u00f3s\u00e1nak egy\u00fcttm\u0171k\u00f6d\u00e9s\u00e9ben tervezt\u00e9k 2017-ben. Ez volt [...]<\/p>","protected":false},"author":4,"featured_media":12133,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[817,554,964],"yoast_head":"\nA new tool for processing spatial and temporal information<\/title>\n<meta name=\"description\" content=\"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/hu\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/\" \/>\n<meta property=\"og:locale\" content=\"hu_HU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A new tool for processing spatial and temporal information\" \/>\n<meta property=\"og:description\" content=\"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/hu\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2021-01-13T11:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-10-18T11:09:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/01\/pyscratch-a-new-tool-to-process-spatial-and-temporal-information-from-scratch-assays.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1123\" \/>\n\t<meta property=\"og:image:height\" content=\"612\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Fabricio Pamplona\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fabricio Pamplona\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A new tool for processing spatial and temporal information","description":"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.","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:\/\/mindthegraph.com\/blog\/hu\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","og_locale":"hu_HU","og_type":"article","og_title":"A new tool for processing spatial and temporal information","og_description":"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.","og_url":"https:\/\/mindthegraph.com\/blog\/hu\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","og_site_name":"Mind the Graph Blog","article_published_time":"2021-01-13T11:30:00+00:00","article_modified_time":"2022-10-18T11:09:26+00:00","og_image":[{"width":1123,"height":612,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/01\/pyscratch-a-new-tool-to-process-spatial-and-temporal-information-from-scratch-assays.png","type":"image\/png"}],"author":"Fabricio Pamplona","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Fabricio Pamplona","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","url":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","name":"A new tool for processing spatial and temporal information","isPartOf":{"@id":"https:\/\/mindthegraph.com\/blog\/#website"},"datePublished":"2021-01-13T11:30:00+00:00","dateModified":"2022-10-18T11:09:26+00:00","author":{"@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/c8eaee6d8007ac319523c3ddc98cedd3"},"description":"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.","breadcrumb":{"@id":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/#breadcrumb"},"inLanguage":"hu-HU","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/mindthegraph.com\/blog\/"},{"@type":"ListItem","position":2,"name":"PyScratch: A New Tool to Process Spatial and Temporal Information from Scratch Assays"}]},{"@type":"WebSite","@id":"https:\/\/mindthegraph.com\/blog\/#website","url":"https:\/\/mindthegraph.com\/blog\/","name":"Mind the Graph Blog","description":"Your science can be beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mindthegraph.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"hu-HU"},{"@type":"Person","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/c8eaee6d8007ac319523c3ddc98cedd3","name":"Fabricio Pamplona","image":{"@type":"ImageObject","inLanguage":"hu-HU","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/da6985d9f20ecb24f3238df103a638ac?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/da6985d9f20ecb24f3238df103a638ac?s=96&d=mm&r=g","caption":"Fabricio Pamplona"},"description":"Fabricio Pamplona is the founder of Mind the Graph - a tool used by over 400K users in 60 countries. He has a Ph.D. and solid scientific background in Psychopharmacology and experience as a Guest Researcher at the Max Planck Institute of Psychiatry (Germany) and Researcher in D'Or Institute for Research and Education (IDOR, Brazil). Fabricio holds over 2500 citations in Google Scholar. He has 10 years of experience in small innovative businesses, with relevant experience in product design and innovation management. Connect with him on LinkedIn - Fabricio Pamplona.","sameAs":["http:\/\/mindthegraph.com","https:\/\/www.linkedin.com\/in\/fabriciopamplona"],"url":"https:\/\/mindthegraph.com\/blog\/hu\/author\/fabricio\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/posts\/12130"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/comments?post=12130"}],"version-history":[{"count":1,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/posts\/12130\/revisions"}],"predecessor-version":[{"id":12134,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/posts\/12130\/revisions\/12134"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/media\/12133"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/media?parent=12130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/categories?post=12130"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/hu\/wp-json\/wp\/v2\/tags?post=12130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}