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10.1117/1.NPh.1.1.011012 http://scihub22266oqcxt.onion/10.1117/1.NPh.1.1.011012 C4479008!4479008!26157968     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Neurophotonics 2014 ; 1 (1): ä Nephropedia Template TP {{tp|p=26157968|t=2014. Multiscale vision model for event detection and reconstruction in two-photon imaging data |pdf=|usr=}}{{26157968}} gab.com Text Multiscale vision model for event detection and reconstruction in two-photon imaging data JO: Neurophotonics http://www.kidney.de/pget.php?&tw=1&pmid=26157968 #FOAvip Reliable detection of calcium waves in multiphoton imaging data is challenging because of the low signal-to-noise ratio and because of the unpredictability of the time and location of these spontaneous events. This paper describes our approach to calcium wave detection and reconstruction based on a modified multiscale vision model, an object detection framework based on the thresholding of wavelet coefficients and hierarchical trees of significant coefficients followed by nonlinear iterative partial object reconstruction, for the analysis of two-photon calcium imaging data. The framework is discussed in the context of detection and reconstruction of intercellular glial calcium waves. We extend the framework by a different decomposition algorithm and iterative reconstruction of the detected objects. Comparison with several popular state-of-the-art image denoising methods shows that performance of the multiscale vision model is similar in the denoising, but provides a better segmenation of the image into meaningful objects, whereas other methods need to be combined with dedicated thresholding and segmentation utilities. Twit Text FOAVip Multiscale vision model for event detection and reconstruction in two-photon imaging data ????Neurophotonics http://www.kidney.de/pget.php?&tw=1&pmid=26157968 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26157968 #FOAvip English Wikipedia <ref>{{Cite pmid|26157968}}</ref> Multiscale vision model for event detection and reconstruction in two-photon imaging data #MMPMID26157968 Brazhe A; Mathiesen C; Lind B; Rubin A; Lauritzen M Neurophotonics 2014[Jul]; 1 (1): ä PMID26157968show ga Reliable detection of calcium waves in multiphoton imaging data is challenging because of the low signal-to-noise ratio and because of the unpredictability of the time and location of these spontaneous events. This paper describes our approach to calcium wave detection and reconstruction based on a modified multiscale vision model, an object detection framework based on the thresholding of wavelet coefficients and hierarchical trees of significant coefficients followed by nonlinear iterative partial object reconstruction, for the analysis of two-photon calcium imaging data. The framework is discussed in the context of detection and reconstruction of intercellular glial calcium waves. We extend the framework by a different decomposition algorithm and iterative reconstruction of the detected objects. Comparison with several popular state-of-the-art image denoising methods shows that performance of the multiscale vision model is similar in the denoising, but provides a better segmenation of the image into meaningful objects, whereas other methods need to be combined with dedicated thresholding and segmentation utilities. äMultiscale vision model for event detection and reconstruction in two-(epmc).pdf DeepDyve Pubget Overpricing