{"id":149268,"date":"2022-11-01T12:26:14","date_gmt":"2022-11-01T17:26:14","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/11\/new-computational-method-builds-detailed-maps-of-human-tissues"},"modified":"2022-11-01T12:26:14","modified_gmt":"2022-11-01T17:26:14","slug":"new-computational-method-builds-detailed-maps-of-human-tissues","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/11\/new-computational-method-builds-detailed-maps-of-human-tissues","title":{"rendered":"New computational method builds detailed maps of human tissues"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-computational-method-builds-detailed-maps-of-human-tissues.jpg\"><\/a><\/p>\n<p>Weill Cornell Medicine researchers have developed a computational method to map the architecture of human tissues in unprecedented detail. Their approach promises to accelerate studies on organ-scale cellular interactions and could enable powerful new diagnostic strategies for a wide range of diseases.<\/p>\n<p>The method, published Oct. 31 in <i>Nature Methods<\/i>, grew out of the scientists\u2019 frustration with the gap between classical microscopy and modern single-cell molecular analysis. \u201cLooking at tissues under the microscope, you see a bunch of cells that are grouped together spatially\u2014you see that organization in images almost immediately,\u201d said lead author Junbum Kim, a graduate student in physiology and biophysics at Weill Cornell Medicine.<\/p>\n<p>\u201cNow, <a href=\"https:\/\/phys.org\/tags\/cell+biologists\/\" rel=\"tag\" class=\"\">cell biologists<\/a> have gained the ability to examine <a href=\"https:\/\/phys.org\/tags\/individual+cells\/\" rel=\"tag\" class=\"\">individual cells<\/a> in tremendous detail, down to which genes each cell is expressing, so they\u2019re focused on the cells instead of focusing on the tissue structure,\u201d he said.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weill Cornell Medicine researchers have developed a computational method to map the architecture of human tissues in unprecedented detail. Their approach promises to accelerate studies on organ-scale cellular interactions and could enable powerful new diagnostic strategies for a wide range of diseases. The method, published Oct. 31 in Nature Methods, grew out of the scientists\u2019 [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1523],"tags":[],"class_list":["post-149268","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-computing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/149268","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=149268"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/149268\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=149268"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=149268"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=149268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}