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10.1364/BOE.8.000536 http://scihub22266oqcxt.onion/10.1364/BOE.8.000536 C5330580!5330580!28270966     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 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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Opt+Express 2017 ; 8 (2): 536-54 Nephropedia Template TP {{tp|p=28270966|t=2017. Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy |pdf=|usr=}}{{28270966}} gab.com Text Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy JO: Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=28270966 #FOAvip Large-scale and label-free phenotyping of cells holds great promise in medicine, especially in cancer diagnostics and prognosis. Here, we introduce inline digital holography microscopy for volumetric imaging of cells in bulk flow and fingerprinting of flowing tumor cells based on two metrics, in-focus scattered intensity and cell diameter. Using planar distribution of immobilized particles, we identify the optimal recording distance and microscope objective magnification that minimizes the error in measurement of particle position, size and scattered intensity. Using the optimized conditions and the two metrics, we demonstrate the capacity to enumerate and fingerprint more than 100,000 cells. Finally, we highlight the power of our label-free and high throughput technology by characterizing breast tumor cell lines with different metastatic potentials and distinguishing drug resistant ovarian cancer cells from their parental cell line. Twit Text FOAVip Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy ????Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=28270966 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28270966 #FOAvip English Wikipedia <ref>{{Cite pmid|28270966}}</ref> Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy #MMPMID28270966 Singh DK; Ahrens CC; Li W; Vanapalli SA Biomed Opt Express 2017[Feb]; 8 (2): 536-54 PMID28270966show ga Large-scale and label-free phenotyping of cells holds great promise in medicine, especially in cancer diagnostics and prognosis. Here, we introduce inline digital holography microscopy for volumetric imaging of cells in bulk flow and fingerprinting of flowing tumor cells based on two metrics, in-focus scattered intensity and cell diameter. Using planar distribution of immobilized particles, we identify the optimal recording distance and microscope objective magnification that minimizes the error in measurement of particle position, size and scattered intensity. Using the optimized conditions and the two metrics, we demonstrate the capacity to enumerate and fingerprint more than 100,000 cells. Finally, we highlight the power of our label-free and high throughput technology by characterizing breast tumor cell lines with different metastatic potentials and distinguishing drug resistant ovarian cancer cells from their parental cell line. äLabel-free fingerprinting of tumor cells in bulk flow using inline dig(epmc).pdf DeepDyve Pubget Overpricing