{"id":244856,"date":"2026-10-03T01:44:55","date_gmt":"2026-10-03T06:44:55","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/10\/new-algorithm-makes-maps-of-gene-activity-easier-to-compare-while-preserving-cell-level-detail"},"modified":"2026-10-03T01:44:55","modified_gmt":"2026-10-03T06:44:55","slug":"new-algorithm-makes-maps-of-gene-activity-easier-to-compare-while-preserving-cell-level-detail","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/10\/new-algorithm-makes-maps-of-gene-activity-easier-to-compare-while-preserving-cell-level-detail","title":{"rendered":"New algorithm makes maps of gene activity easier to compare while preserving cell-level detail"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-algorithm-makes-maps-of-gene-activity-easier-to-compare-while-preserving-cell-level-detail2.jpg\"><\/a><\/p>\n<p>Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of tissue may be rotated, stretched or otherwise distorted, so equivalent regions do not automatically line up.<\/p>\n<p>Researchers at Kanazawa University and Sapienza University of Rome have developed a computational method that aligns these maps directly from the individual measurement locations and their gene-activity values. Called Domain Elastic Transform (DET), it smoothly reshapes one digital map to match another without first converting the measurements into a regular grid of pixels.<\/p>\n<p>The research, led by Osamu Hirose of Kanazawa University in collaboration with Emanuele Rodol\u00e0 of Sapienza University of Rome, was <a href=\"https:\/\/ieeexplore.ieee.org\/document\/11692358\/\" target=\"_blank\">published<\/a> in IEEE Transactions on Pattern Analysis and Machine Intelligence.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of tissue may be rotated, stretched or otherwise distorted, so equivalent regions do not automatically line up. Researchers at Kanazawa University and Sapienza University of Rome have [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,1965,6],"tags":[],"class_list":["post-244856","post","type-post","status-publish","format-standard","hentry","category-information-science","category-mapping","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/244856","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=244856"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/244856\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=244856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=244856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=244856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}