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10 M Jermyn et al (2015) Intraoperative brain cancer detection with Raman spectroscopy in humans Sci Transl Med Vol 7 274ra19 11 D A Orringer et al (2017) Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nat Biomed Eng 1 article 0027
Rapid Intraoperative Histology Of Unprocessed Surgical Your Erisa Watch Ninth Circuit Holds That Claims Can National Law Journal Doent Active Links Saved Marks Contents 2020 Election Polls Axios Volume 24 issue 4 december 2018 january 2019 education update the ready room a star trek podcast podbay boxoffice may 04 1970 fillable employee benefits Related Related Posts Post Beam
Real-time intraoperative diagnosis by deep neural network driven multiphoton virtual histology Sixian You 1 2 Yi Sun1 3 Lin Yang4 Jaena Park1 2 Haohua Tu1 Marina Marjanovic1 2 5 Saurabh Sinha5 6* and Stephen A Boppart 1 2 3 5* Recent advances in label-free virtual histology promise a new era for real-time molecular diagnosis in the operating room and during biopsy procedures To take
Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy by Dr Orrin March 24 2017 IINVENIO Receives NIH SBIR Phase 2 and NSF SBIR Phase 2B Grants April 5 2016 INVENIO Closes Series A Financing December 24 2015 Please reload Recent Posts Rapid intraoperative histology of unprocessed surgical specimens
Optical scanning for rapid intraoperative diagnosis of sentinel node metastases in breast cancer unprocessed sentinel lymph nodes with pulses of white light by elastic scattering spectroscopy (ESS) The scattered light underwent spectral analysis and individual spectra were initially correlated with conventional histology to develop a diagnostic algorithm This algorithm was used to
Shawn Hervey-Jumper Associate Professor in Residence of Neurological Surgery Principal Investigator Brain Tumor Center Dr Hervey-Jumper specializes in the surgical treatment of adult brain tumors His fellowship training in neurosurgical oncology focused on brain mapping techniques and surgery for removing tumors in eloquent cortex His research interests include neurocognitive mapping
Gliomas infiltrate into surrounding healthy brain tissue Microsurgical resection aims for maximal tumor resection while minimizing morbidity Surgical margins are defined based on the surgeon's experience visual observation and neuronavigation Surgical margin assessment is rarely undertaken intraoperatively due to time constraints and unreliability of such evaluation
Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy SUPPLEMENTAL MATERIALS List of contents: Figure S1: Axial and lateral resolution of the clinical SRS microscope Figure S2: SRH of pediatric posterior fossa tumors Figure S3: Discrepancies between pathological diagnosis from SRH and HE Figure S4: MLP
1 ! 1! Rapid intraoperative histology of unprocessed surgical specimens 2! via fiber-laser-based stimulated Raman scattering microscopy 3! 4! Daniel A Orringer 1* Balaji Pandian 1 Yashar S Niknafs 1 Todd C Hollon 1 Julianne Boyle 1 5! Spencer Lewis 1 Mia Garrard 1 Shawn L Hervey-Jumper 1 Hugh J L Garton 1 Cormac O 6! Maher 1 Jason A Heth 1 Oren Sagher 1 D Andrew Wilkinson 1 Matija
Ultraviolet photoacoustic microscopy (UV-PAM) is a promising intraoperative tool for surgical margin assessment (SMA) one that can provide label-free histology-like images with high resolution In this study using a microlens array and a one-dimensional (1-D) array ultrasonic transducer we developed a high-throughput multifocal UV-PAM (MF-UV-PAM) Our new system achieved a 1 6 0 2 μm
Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nat Biomed Eng 2017:1 27 Freudiger CW Yang W Holtom GR Peyghambarian N Xie XS Kieu KQ Stimulated Raman scattering microscopy with a
10 M Jermyn et al (2015) Intraoperative brain cancer detection with Raman spectroscopy in humans Sci Transl Med Vol 7 274ra19 11 D A Orringer et al (2017) Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nat Biomed Eng 1 article 0027
Orringer DA Pandian B Niknafs YS et al Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nat Biomed Eng 2017 1(2):0027 doi: 10 1038/s41551-016-0027 PubMed Google Scholar Crossref
(2017) Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nature Biomedical Engineering Analyst : Genome Hunter | Localized by Synced Global Team : Xiang Chen
Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy 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 Nat Biomed Eng 2017
Meningiomas are the most common intracranial extra-axial neoplasms and account for a significant proportion of all central nervous system (CNS) tumors Regardless of the grade treatment typically involves upfront surgical resection However in many instances especially in meningiomas arising from the skull base complete removal is often difficult given the close proximity to important
An automated tissue-to-diagnosis pipeline using intraoperative stimulated Raman histology and deep learning Todd C Hollon a and Daniel A Orringer b aDepartment of Neurosurgery University of Michigan Medical School Ann Arbor MI USA bDepartment of Neurosurgery New York University New York NY USA ABSTRACT We recently developed and validated a bedside tissue-to-diagnosis
In a simulation of intraoperative pathologic consultation in 30 patients we found a remarkable concordance of SRS and conventional histology for predicting diagnosis (Cohen's kappa κ 0 89) with accuracy exceeding 92% These results provide insight into how SRS microscopy could now be used to improve the surgical care of brain-tumor patients [5]
Rapid histology of brain tissues with sufficient diagnostic information has the great potential to aid neurosurgeons during operations Stimulated Raman Scattering (SRS) microscopy is an emerging label-free imaging technique with the intrinsic chemical resolutions to delineate brain tumors from normal tissues without the need of time-consuming tissue processing
Intraoperative consultation (frozen section FS) provides a preliminary diagnosis for the surgeon and aids in guiding his/her subsequent surgical approach For the pathologist it serves to assess tissue adequacy in the context of the clinical and imaging features of the patient FS can guarantee that the surgeon is in the desired anatomic location but most often serves to ensure that
Two-color stimulated Raman scattering (SRS) microscopy with label-free mapping of lipid/protein distributions has shown promise in virtual histology Despite previous demonstrations of SRS in tumor delineation and diagnosis the speed and efficiency of the current technique requires further improvements for practical use Here we integrate parallel dual-phase SRS detection with strip
Rapid large-scale stimulated Raman histology with strip mosaicing and dual-phase detection BOHAN ZHANG 1 MENGXIONG SUN 2 YANG 1 LINGCHAO CHEN 3 XIANG ZOU 3 TIAN YANG 4 YINGQI HUA 2 AND MINBIAO JI1 1State Key Laboratory of Surface Physics and Department of Physics Collaborative Innovation Center of Genetics and Development Key Laboratory of Micro and Nano
Stimulated Raman histology (SRH) is a novel label-free imaging technique that provides intraoperative histologic images of fresh unprocessed surgical specimens Here we evaluate the capacity of SRH for use in the intraoperative diagnosis of pediatric type brain tumors SRH revealed key diagnostic features in fresh tissue specimens collected from 33 prospectively enrolled pediatric type brain
01 01 2018Rapid accurate histopathologic diagnosis is essential for providing optimal surgical care in pediatric brain tumor patients We demonstrate that SRH is a viable alternative to conventional histology for providing intraoperative histology without the need for tissue processing sectioning or staining SRH was able to highlight the diagnostic
01 01 2018Accurate histopathologic diagnosis is essential for providing optimal surgical management of pediatric brain tumors Current methods for intraoperative histology are time- and labor-intensive and often introduce artifact that limit interpretation Stimulated Raman histology (SRH) is a novel label-free imaging technique that provides intraoperative histologic images of fresh unprocessed
Meningiomas are the most common intracranial extra-axial neoplasms and account for a significant proportion of all central nervous system (CNS) tumors Regardless of the grade treatment typically involves upfront surgical resection However in many instances especially in meningiomas arising from the skull base complete removal is often difficult given the close proximity to important
Orringer DA Pandian B Niknafs YS Hollon TC Boyle J Lewis S Garrard M Shawn L 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 Rapid intraoperative histology of unprocessed surgical specimens via fiber
Orringer D A Pandian B Niknafs Y S and 21 others (2017) Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nature Biomedical Engineering published online ahead of print 6 February 2017 doi: 10 1038/s41551-016-0027
31 Orringer DA Pandian B Niknafs YS Hollon TC Boyle J Lewis S et al Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy Nat Biomed Eng (2017) 1:0027 doi: 10 1038/s41551-016-0027 PubMed Abstract | CrossRef Full Text | Google Scholar
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