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10.1021/acs.chemrev.6b00729 http://scihub22266oqcxt.onion/10.1021/acs.chemrev.6b00729 C5487374!5487374!28414216     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chem+Rev 2017 ; 117 (11): 7276-330 Nephropedia Template TP {{tp|p=28414216|t=2017. Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis |pdf=|usr=}}{{28414216}} gab.com Text Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis JO: Chem Rev http://www.kidney.de/pget.php?&tw=1&pmid=28414216 #FOAvip Super-resolution microscopy provides direct insight into fundamental biological processes occurring at length scales smaller than light?s diffraction limit. The analysis of data at such scales has brought statistical and machine learning methods into the mainstream. Here we provide a survey of data analysis methods starting from an overview of basic statistical techniques underlying the analysis of super-resolution and, more broadly, imaging data. We subsequently break down the analysis of super-resolution data into four problems: the localization problem, the counting problem, the linking problem, and what we?ve termed the interpretation problem. Twit Text FOAVip Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis ????Chem Rev http://www.kidney.de/pget.php?&tw=1&pmid=28414216 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28414216 #FOAvip English Wikipedia <ref>{{Cite pmid|28414216}}</ref> Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis #MMPMID28414216 Lee A; Tsekouras K; Calderon C; Bustamante C; Pressé S Chem Rev 2017[Jun]; 117 (11): 7276-330 PMID28414216show ga Super-resolution microscopy provides direct insight into fundamental biological processes occurring at length scales smaller than light?s diffraction limit. The analysis of data at such scales has brought statistical and machine learning methods into the mainstream. Here we provide a survey of data analysis methods starting from an overview of basic statistical techniques underlying the analysis of super-resolution and, more broadly, imaging data. We subsequently break down the analysis of super-resolution data into four problems: the localization problem, the counting problem, the linking problem, and what we?ve termed the interpretation problem. äUnraveling the Thousand Word Picture: An Introduction to Super-Resolut(epmc).pdf DeepDyve Pubget Overpricing