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10.1038/s41551-016-0027 http://scihub22266oqcxt.onion/10.1038/s41551-016-0027 C5612414!5612414 !28955599     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28955599 &cmd=llinks): Failed to open stream: HTTP request failed! 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Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy |pdf=|usr=}}{{28955599 }} gab.com Text Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy JO: Nat Biomed Eng http://www.kidney.de/pget.php?&tw=1&pmid=28955599 #FOAvip Conventional methods for intraoperative histopathologic diagnosis are labour- and time-intensive, and may delay decision-making during brain-tumour surgery. Stimulated Raman scattering (SRS) microscopy, a label-free optical process, has been shown to rapidly detect brain-tumour infiltration in fresh, unprocessed human tissues. Here, we demonstrate the first application of SRS microscopy in the operating room by using a portable fibre-laser-based microscope and unprocessed specimens from 101 neurosurgical patients. We also introduce an image-processing method - stimulated Raman histology (SRH) - which leverages SRS images to create virtual haematoxylin-and-eosin-stained slides, revealing essential diagnostic features. In a simulation of intraoperative pathologic consultation in 30 patients, we found a remarkable concordance of SRH and conventional histology for predicting diagnosis (Cohen's kappa, ? > 0.89), with accuracy exceeding 92%. We also built and validated a multilayer perceptron based on quantified SRH image attributes that predicts brain-tumour subtype with 90% accuracy. Our findings provide insight into how SRH can now be used to improve the surgical care of brain tumour patients. Twit Text FOAVip Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy ????Nat Biomed Eng http://www.kidney.de/pget.php?&tw=1&pmid=28955599 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28955599 #FOAvip English Wikipedia <ref>{{Cite pmid|28955599 }}</ref> Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy #MMPMID28955599 Orringer DA ; Pandian B ; Niknafs YS ; Hollon TC ; Boyle J ; Lewis S ; Garrard M ; Hervey-Jumper SL ; Garton HJL ; Maher CO ; Heth JA ; Sagher O ; Wilkinson DA ; Snuderl M ; Venneti S ; Ramkissoon SH ; McFadden KA ; Fisher-Hubbard A ; Lieberman AP ; Johnson TD ; Xie XS ; Trautman JK ; Freudiger CW ; Camelo-Piragua S Nat Biomed Eng 2017[]; 1 (ä): ä PMID28955599 show ga Conventional methods for intraoperative histopathologic diagnosis are labour- and time-intensive, and may delay decision-making during brain-tumour surgery. Stimulated Raman scattering (SRS) microscopy, a label-free optical process, has been shown to rapidly detect brain-tumour infiltration in fresh, unprocessed human tissues. Here, we demonstrate the first application of SRS microscopy in the operating room by using a portable fibre-laser-based microscope and unprocessed specimens from 101 neurosurgical patients. We also introduce an image-processing method - stimulated Raman histology (SRH) - which leverages SRS images to create virtual haematoxylin-and-eosin-stained slides, revealing essential diagnostic features. In a simulation of intraoperative pathologic consultation in 30 patients, we found a remarkable concordance of SRH and conventional histology for predicting diagnosis (Cohen's kappa, ? > 0.89), with accuracy exceeding 92%. We also built and validated a multilayer perceptron based on quantified SRH image attributes that predicts brain-tumour subtype with 90% accuracy. Our findings provide insight into how SRH can now be used to improve the surgical care of brain tumour patients. äRapid intraoperative histology of unprocessed surgical specimens via (epmc).pdf DeepDyve Pubget Overpricing