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10.1364/BOE.8.002261 http://scihub22266oqcxt.onion/10.1364/BOE.8.002261 C5516811!5516811 !28736670     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28736670 &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       Biomed+Opt+Express 2017 ; 8 (4 ): 2261-2275 Nephropedia Template TP {{tp|p=28736670 |t=2017. Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging Invited |pdf=|usr=}}{{28736670 }} gab.com Text Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging Invited JO: Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=28736670 #FOAvip In this report, which is an international collaboration of OCT, adaptive optics, and control research, we demonstrate the Data-based Online Nonlinear Extremum-seeker (DONE) algorithm to guide the image based optimization for wavefront sensorless adaptive optics (WFSL-AO) OCT for in vivo human retinal imaging. The ocular aberrations were corrected using a multi-actuator adaptive lens after linearization of the hysteresis in the piezoelectric actuators. The DONE algorithm succeeded in drastically improving image quality and the OCT signal intensity, up to a factor seven, while achieving a computational time of 1 ms per iteration, making it applicable for many high speed applications. We demonstrate the correction of five aberrations using 70 iterations of the DONE algorithm performed over 2.8 s of continuous volumetric OCT acquisition. Data acquired from an imaging phantom and in vivo from human research volunteers are presented. Twit Text FOAVip Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging Invited ????Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=28736670 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28736670 #FOAvip English Wikipedia <ref>{{Cite pmid|28736670 }}</ref> Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging Invited #MMPMID28736670 Verstraete HRGW ; Heisler M ; Ju MJ ; Wahl D ; Bliek L ; Kalkman J ; Bonora S ; Jian Y ; Verhaegen M ; Sarunic MV Biomed Opt Express 2017[Apr]; 8 (4 ): 2261-2275 PMID28736670 show ga In this report, which is an international collaboration of OCT, adaptive optics, and control research, we demonstrate the Data-based Online Nonlinear Extremum-seeker (DONE) algorithm to guide the image based optimization for wavefront sensorless adaptive optics (WFSL-AO) OCT for in vivo human retinal imaging. The ocular aberrations were corrected using a multi-actuator adaptive lens after linearization of the hysteresis in the piezoelectric actuators. The DONE algorithm succeeded in drastically improving image quality and the OCT signal intensity, up to a factor seven, while achieving a computational time of 1 ms per iteration, making it applicable for many high speed applications. We demonstrate the correction of five aberrations using 70 iterations of the DONE algorithm performed over 2.8 s of continuous volumetric OCT acquisition. Data acquired from an imaging phantom and in vivo from human research volunteers are presented. ?Wavefront sensorless adaptive optics OCT with the DONE algorithm for i(epmc).pdf DeepDyve Pubget Overpricing