Ivan R. Nabi, Ben Cardoen, Ismail M. Khater, Guang Gao, Timothy H. Wong, Ghassan Hamarneh
{"title":"AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth","authors":"Ivan R. Nabi, Ben Cardoen, Ismail M. Khater, Guang Gao, Timothy H. Wong, Ghassan Hamarneh","doi":"arxiv-2305.17193","DOIUrl":null,"url":null,"abstract":"The nanoscale resolution of super-resolution microscopy has now enabled the\nuse of fluorescent based molecular localization tools to study whole cell\nstructural biology. Machine learning based analysis of super-resolution data\noffers tremendous potential for discovery of new biology, that by definition is\nnot known and lacks ground truth. Herein, we describe the application of weakly\nsupervised learning paradigms to super-resolution microscopy and its potential\nto enable the accelerated exploration of the molecular architecture of\nsubcellular macromolecules and organelles.","PeriodicalId":501170,"journal":{"name":"arXiv - QuanBio - Subcellular Processes","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Subcellular Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2305.17193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The nanoscale resolution of super-resolution microscopy has now enabled the
use of fluorescent based molecular localization tools to study whole cell
structural biology. Machine learning based analysis of super-resolution data
offers tremendous potential for discovery of new biology, that by definition is
not known and lacks ground truth. Herein, we describe the application of weakly
supervised learning paradigms to super-resolution microscopy and its potential
to enable the accelerated exploration of the molecular architecture of
subcellular macromolecules and organelles.
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