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10.1109/TMI.2015.2497285 http://scihub22266oqcxt.onion/10.1109/TMI.2015.2497285 C4873963!4873963!26552080     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       IEEE+Trans+Med+Imaging 2016 ; 35 (3): 819-29 Nephropedia Template TP {{tp|p=26552080|t=2016. Automatic Stem Cell Detection in Microscopic Whole Mouse Cryo-imaging |pdf=|usr=}}{{26552080}} gab.com Text Automatic Stem Cell Detection in Microscopic Whole Mouse Cryo-imaging JO: IEEE Trans Med Imaging http://www.kidney.de/pget.php?&tw=1&pmid=26552080 #FOAvip With its single cell sensitivity over volumes as large as or larger than a mouse, cryo-imaging enables imaging of stem cell biodistribution, homing, engraftment, and molecular mechanisms. We developed and evaluated a highly automated software tool to detect fluorescently labeled stem cells within very large (~200GB) cryo-imaging datasets. Cell detection steps are: preprocess, remove immaterial regions, spatially filter to create features, identify candidate pixels, classify pixels using bagging decision trees, segment cell patches, and perform 3D labeling. There are options for analysis and visualization. To train the classifier, we created synthetic images by placing realistic digital cell models onto cryo-images of control mice devoid of cells. Very good cell detection results were (precision=98.49%, recall=99.97%) for synthetic cryo-images, (precision=97.81%, recall=97.71%) for manually evaluated, actual cryo-images, and <1% false positives in control mice. An ?-multiplier applied to features allows one to correct for experimental variations in cell brightness due to labeling. On dim cells (37% of standard brightness), with correction, we improved recall (49.26%?99.36%) without a significant drop in precision (99.99%?99.75%). With tail vein injection, multipotent adult progenitor cells in a graft-versus-host-disease model in the first days post injection were predominantly found in lung, liver, spleen, and bone marrow. Distribution was not simply related to blood flow. The lung contained clusters of cells while other tissues contained single cells. Our methods provided stem cell distribution anywhere in mouse with single cell sensitivity. Methods should provide a rational means of evaluating dosing, delivery methods, cell enhancements, and mechanisms for therapeutic cells. Twit Text FOAVip Automatic Stem Cell Detection in Microscopic Whole Mouse Cryo-imaging ????IEEE Trans Med Imaging http://www.kidney.de/pget.php?&tw=1&pmid=26552080 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26552080 #FOAvip English Wikipedia <ref>{{Cite pmid|26552080}}</ref> Automatic Stem Cell Detection in Microscopic Whole Mouse Cryo-imaging #MMPMID26552080 Wuttisarnwattana P; Gargesha M; Hof Wv; Cooke KR; Wilson DL IEEE Trans Med Imaging 2016[Mar]; 35 (3): 819-29 PMID26552080show ga With its single cell sensitivity over volumes as large as or larger than a mouse, cryo-imaging enables imaging of stem cell biodistribution, homing, engraftment, and molecular mechanisms. We developed and evaluated a highly automated software tool to detect fluorescently labeled stem cells within very large (~200GB) cryo-imaging datasets. Cell detection steps are: preprocess, remove immaterial regions, spatially filter to create features, identify candidate pixels, classify pixels using bagging decision trees, segment cell patches, and perform 3D labeling. There are options for analysis and visualization. To train the classifier, we created synthetic images by placing realistic digital cell models onto cryo-images of control mice devoid of cells. Very good cell detection results were (precision=98.49%, recall=99.97%) for synthetic cryo-images, (precision=97.81%, recall=97.71%) for manually evaluated, actual cryo-images, and <1% false positives in control mice. An ?-multiplier applied to features allows one to correct for experimental variations in cell brightness due to labeling. On dim cells (37% of standard brightness), with correction, we improved recall (49.26%?99.36%) without a significant drop in precision (99.99%?99.75%). With tail vein injection, multipotent adult progenitor cells in a graft-versus-host-disease model in the first days post injection were predominantly found in lung, liver, spleen, and bone marrow. Distribution was not simply related to blood flow. The lung contained clusters of cells while other tissues contained single cells. Our methods provided stem cell distribution anywhere in mouse with single cell sensitivity. Methods should provide a rational means of evaluating dosing, delivery methods, cell enhancements, and mechanisms for therapeutic cells. äAutomatic Stem Cell Detection in Microscopic Whole Mouse Cryo-imaging (epmc).pdf DeepDyve Pubget Overpricing