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.
| Original language | English |
|---|---|
| Pages (from-to) | 103-109 |
| Number of pages | 7 |
| Journal | Journal of Biophotonics |
| Volume | 7 |
| Issue number | 1-2 |
| Early online date | 21 Jun 2013 |
| DOIs | |
| Publication status | Published - Jan 2014 |
Keywords
- Fiber probe
- Medical optics
- Raman spectroscopy
- Surgical robotics
- Tissue diagnostics
ASJC Scopus subject areas
- General Chemistry
- General Materials Science
- General Biochemistry,Genetics and Molecular Biology
- General Engineering
- General Physics and Astronomy
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