Abbasi, Hamed and Guzman, Raphael and Cattin, Philippe C. and Zam, Azhar. (2022) All-fiber-optic LIBS system for tissue differentiation: A prospect for endoscopic smart laser osteotomy. Optics and Lasers in Engineering, 148. p. 106765.
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Official URL: https://edoc.unibas.ch/84260/
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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.
Faculties and Departments: | 03 Faculty of Medicine > Departement Biomedical Engineering > Laser and Robotics > Biomedical Laser and Optics (Zam) |
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UniBasel Contributors: | Abbasi, Hamed and Guzman, Raphael and Cattin, Philippe Claude and Zam, Azhar |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Elsevier Ltd. |
ISSN: | 0143-8166 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
Identification Number: | |
edoc DOI: | |
Last Modified: | 16 Sep 2021 13:09 |
Deposited On: | 09 Sep 2021 14:42 |
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