Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41598-017-04450-w http://scihub22266oqcxt.onion/10.1038/s41598-017-04450-w C5481387!5481387!28642595     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2017 ; 7 (ä): ä Nephropedia Template TP {{tp|p=28642595|t=2017. 3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse |pdf=|usr=}}{{28642595}} gab.com Text 3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28642595 #FOAvip Single-molecule localisation microscopy (SMLM) allows the localisation of fluorophores with a precision of 10?30?nm, revealing the cell?s nanoscale architecture at the molecular level. Recently, SMLM has been extended to 3D, providing a unique insight into cellular machinery. Although cluster analysis techniques have been developed for 2D SMLM data sets, few have been applied to 3D. This lack of quantification tools can be explained by the relative novelty of imaging techniques such as interferometric photo-activated localisation microscopy (iPALM). Also, existing methods that could be extended to 3D SMLM are usually subject to user defined analysis parameters, which remains a major drawback. Here, we present a new open source cluster analysis method for 3D SMLM data, free of user definable parameters, relying on a model-based Bayesian approach which takes full account of the individual localisation precisions in all three dimensions. The accuracy and reliability of the method is validated using simulated data sets. This tool is then deployed on novel experimental data as a proof of concept, illustrating the recruitment of LAT to the T-cell immunological synapse in data acquired by iPALM providing ~10?nm isotropic resolution. Twit Text FOAVip 3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28642595 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28642595 #FOAvip English Wikipedia <ref>{{Cite pmid|28642595}}</ref> 3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse #MMPMID28642595 Griffié J; Shlomovich L; Williamson DJ; Shannon M; Aaron J; Khuon S; L. Burn G; Boelen L; Peters R; Cope AP; Cohen EAK; Rubin-Delanchy P; Owen DM Sci Rep 2017[]; 7 (ä): ä PMID28642595show ga Single-molecule localisation microscopy (SMLM) allows the localisation of fluorophores with a precision of 10?30?nm, revealing the cell?s nanoscale architecture at the molecular level. Recently, SMLM has been extended to 3D, providing a unique insight into cellular machinery. Although cluster analysis techniques have been developed for 2D SMLM data sets, few have been applied to 3D. This lack of quantification tools can be explained by the relative novelty of imaging techniques such as interferometric photo-activated localisation microscopy (iPALM). Also, existing methods that could be extended to 3D SMLM are usually subject to user defined analysis parameters, which remains a major drawback. Here, we present a new open source cluster analysis method for 3D SMLM data, free of user definable parameters, relying on a model-based Bayesian approach which takes full account of the individual localisation precisions in all three dimensions. The accuracy and reliability of the method is validated using simulated data sets. This tool is then deployed on novel experimental data as a proof of concept, illustrating the recruitment of LAT to the T-cell immunological synapse in data acquired by iPALM providing ~10?nm isotropic resolution. ä3D Bayesian cluster analysis of super-resolution data reveals LAT recr(epmc).pdf DeepDyve Pubget Overpricing