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A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics.

Research output: Contribution to journalArticlepeer-review

DOI

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A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics. / Ashok, Praveen Cheriyan; Giardini, Mario Ettore; Dholakia, Kishan; Sibbett, Wilson.

In: Journal of Biophotonics, Vol. 7, 2013.

Research output: Contribution to journalArticlepeer-review

Harvard

Ashok, PC, Giardini, ME, Dholakia, K & Sibbett, W 2013, 'A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics.', Journal of Biophotonics, vol. 7. https://doi.org/10.1002/jbio.201300034

APA

Ashok, P. C., Giardini, M. E., Dholakia, K., & Sibbett, W. (2013). A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics. Journal of Biophotonics, 7. https://doi.org/10.1002/jbio.201300034

Vancouver

Ashok PC, Giardini ME, Dholakia K, Sibbett W. A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics. Journal of Biophotonics. 2013;7. https://doi.org/10.1002/jbio.201300034

Author

Ashok, Praveen Cheriyan ; Giardini, Mario Ettore ; Dholakia, Kishan ; Sibbett, Wilson. / A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics. In: Journal of Biophotonics. 2013 ; Vol. 7.

Bibtex - Download

@article{af4335fcc4c448819d9b968aed591116,
title = "A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics.",
abstract = "We report the development of a fiber-based Raman sensor to be used in tumour margin identification during endoluminal robotic surgery. Although this is a generic platform, the sensor we describe was adapted for the ARAKNES (Array of Robots Augmenting the KiNematics of Endoluminal Surgery) robotic platform. On such a platform, the Raman sensor is intended to identify ambiguous tissue margins during robot-assisted surgeries. To maintain sterility of the probe during surgical intervention, a disposable sleeve was specially designed. A straightforward user-compatible interface was implemented where a supervised multivariate classification algorithm was used to classify different tissue types based on specific Raman fingerprints so that it could be used without prior knowledge of spectroscopic data analysis. The protocol avoids inter-patient variability in data and the sensor system is not restricted for use in the classification of a particular tissue type. Representative tissue classification assessments were performed using this system on excised tissue. ({\textcopyright} 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim).",
keywords = "Raman spectroscopy, Surgical robotics, Tissue descrimination , Surgical guidance, Fiber Raman probe",
author = "Ashok, {Praveen Cheriyan} and Giardini, {Mario Ettore} and Kishan Dholakia and Wilson Sibbett",
year = "2013",
doi = "10.1002/jbio.201300034",
language = "English",
volume = "7",
journal = "Journal of Biophotonics",
issn = "1864-063X",
publisher = "Wiley-Blackwell",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A Raman spectroscopy bio-sensor for tissue discrimination in surgical robotics.

AU - Ashok, Praveen Cheriyan

AU - Giardini, Mario Ettore

AU - Dholakia, Kishan

AU - Sibbett, Wilson

PY - 2013

Y1 - 2013

N2 - We report the development of a fiber-based Raman sensor to be used in tumour margin identification during endoluminal robotic surgery. Although this is a generic platform, the sensor we describe was adapted for the ARAKNES (Array of Robots Augmenting the KiNematics of Endoluminal Surgery) robotic platform. On such a platform, the Raman sensor is intended to identify ambiguous tissue margins during robot-assisted surgeries. To maintain sterility of the probe during surgical intervention, a disposable sleeve was specially designed. A straightforward user-compatible interface was implemented where a supervised multivariate classification algorithm was used to classify different tissue types based on specific Raman fingerprints so that it could be used without prior knowledge of spectroscopic data analysis. The protocol avoids inter-patient variability in data and the sensor system is not restricted for use in the classification of a particular tissue type. Representative tissue classification assessments were performed using this system on excised tissue. (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim).

AB - We report the development of a fiber-based Raman sensor to be used in tumour margin identification during endoluminal robotic surgery. Although this is a generic platform, the sensor we describe was adapted for the ARAKNES (Array of Robots Augmenting the KiNematics of Endoluminal Surgery) robotic platform. On such a platform, the Raman sensor is intended to identify ambiguous tissue margins during robot-assisted surgeries. To maintain sterility of the probe during surgical intervention, a disposable sleeve was specially designed. A straightforward user-compatible interface was implemented where a supervised multivariate classification algorithm was used to classify different tissue types based on specific Raman fingerprints so that it could be used without prior knowledge of spectroscopic data analysis. The protocol avoids inter-patient variability in data and the sensor system is not restricted for use in the classification of a particular tissue type. Representative tissue classification assessments were performed using this system on excised tissue. (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim).

KW - Raman spectroscopy

KW - Surgical robotics

KW - Tissue descrimination

KW - Surgical guidance

KW - Fiber Raman probe

U2 - 10.1002/jbio.201300034

DO - 10.1002/jbio.201300034

M3 - Article

VL - 7

JO - Journal of Biophotonics

JF - Journal of Biophotonics

SN - 1864-063X

ER -

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