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All-fiber-optic LIBS system for tissue differentiation: A prospect for endoscopic smart laser osteotomy
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4624204
Author(s) Abbasi, Hamed; Guzman, Raphael; Cattin, Philippe C.; Zam, Azhar
Author(s) at UniBasel Abbasi, Hamed
Year 2022
Title All-fiber-optic LIBS system for tissue differentiation: A prospect for endoscopic smart laser osteotomy
Journal Optics and Lasers in Engineering
Volume 148
Pages / Article-Number 106765
Keywords FO-LIBS; Miniaturization; High throughput; Echelle spectrometer; Tissue characterization
Abstract Minimally-invasive laser surgeries could benefit from a fiber-optic laser-induced breakdown spectroscopy (FO-LIBS) setup for real-time tissue characterization. In FO-LIBS, the sample receives limited light irradiance due to the fiber's low damage threshold and diminished laser beam quality. Therefore, the plasma created with FO-LIBS is less luminant than that of free-space LIBS. Furthermore, only a small portion of plasma emission can be collected, as the lens's size at the fiber tip is restricted to fit inside the narrow channel of an endoscope. A high optical throughput Echelle spectrometer was developed to compensate for low-intensity light collection with FO-LIBS. The Echelle spectrometer was tested for tissue differentiation when combined with a flexible fiber bundle delivery setup and a small lens at the bundle's tip. The customized FO-LIBS setup, coupled with multivariate data analysis, successfully differentiated bone from surrounding soft tissue (muscle, fat, and bone marrow) with 100% cross-validated (CV) sensitivity and specificity. The CV sensitivity and specificity for differentiation between all tissues were 90.2% and 96.7%, respectively. The results demonstrate, to the best of our knowledge, the first flexible FO-LIBS system, which may provide a further step towards the development of a smart endoscopic laser scalpel.
Publisher Elsevier Ltd.
ISSN/ISBN 0143-8166
edoc-URL https://edoc.unibas.ch/84260/
Full Text on edoc Available
Digital Object Identifier DOI 10.1016/j.optlaseng.2021.106765
 
   

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23/04/2024