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10.1364/BOE.8.001549 http://scihub22266oqcxt.onion/10.1364/BOE.8.001549 C5480564!5480564!28663849     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28663849&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28663849.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Biomed+Opt+Express 2017 ; 8 (3): 1549-74 Nephropedia Template TP {{tp|p=28663849|t=2017. Computational optical coherence tomography Invited |pdf=|usr=}}{{28663849}} gab.com Text Computational optical coherence tomography Invited JO: Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=28663849 #FOAvip Optical coherence tomography (OCT) has become an important imaging modality with numerous biomedical applications. Challenges in high-speed, high-resolution, volumetric OCT imaging include managing dispersion, the trade-off between transverse resolution and depth-of-field, and correcting optical aberrations that are present in both the system and sample. Physics-based computational imaging techniques have proven to provide solutions to these limitations. This review aims to outline these computational imaging techniques within a general mathematical framework, summarize the historical progress, highlight the state-of-the-art achievements, and discuss the present challenges. Twit Text FOAVip Computational optical coherence tomography Invited ????Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=28663849 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28663849 #FOAvip English Wikipedia <ref>{{Cite pmid|28663849}}</ref> Computational optical coherence tomography Invited #MMPMID28663849 Liu YZ; South FA; Xu Y; Carney PS; Boppart SA Biomed Opt Express 2017[Mar]; 8 (3): 1549-74 PMID28663849show ga Optical coherence tomography (OCT) has become an important imaging modality with numerous biomedical applications. Challenges in high-speed, high-resolution, volumetric OCT imaging include managing dispersion, the trade-off between transverse resolution and depth-of-field, and correcting optical aberrations that are present in both the system and sample. Physics-based computational imaging techniques have proven to provide solutions to these limitations. This review aims to outline these computational imaging techniques within a general mathematical framework, summarize the historical progress, highlight the state-of-the-art achievements, and discuss the present challenges. äComputational optical coherence tomography Invited (epmc).pdf DeepDyve Pubget Overpricing