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Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
Smart laser technologies are desired that can accurately cut and characterize tissues, such as bone and muscle, with minimal thermal damage and fast healing. Using a long-pulsed laser with a 0.5–10 ms pulse width at a wavelength of 1.07 µm, we investigated the optimum laser parameters for producing...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515417/ https://www.ncbi.nlm.nih.gov/pubmed/31022964 http://dx.doi.org/10.3390/ma12081338 |
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author | Nguendon Kenhagho, Hervé Shevchik, Sergey Saeidi, Fatemeh Faivre, Neige Meylan, Bastian Rauter, Georg Guzman, Raphael Cattin, Philippe Wasmer, Kilian Zam, Azhar |
author_facet | Nguendon Kenhagho, Hervé Shevchik, Sergey Saeidi, Fatemeh Faivre, Neige Meylan, Bastian Rauter, Georg Guzman, Raphael Cattin, Philippe Wasmer, Kilian Zam, Azhar |
author_sort | Nguendon Kenhagho, Hervé |
collection | PubMed |
description | Smart laser technologies are desired that can accurately cut and characterize tissues, such as bone and muscle, with minimal thermal damage and fast healing. Using a long-pulsed laser with a 0.5–10 ms pulse width at a wavelength of 1.07 µm, we investigated the optimum laser parameters for producing craters with minimal thermal damage under both wet and dry conditions. In different tissues (bone and muscle), we analyzed craters of various morphologies, depths, and volumes. We used a two-way Analysis of Variance (ANOVA) test to investigate whether there are significant differences in the ablation efficiency in wet versus dry conditions at each level of the pulse energy. We found that bone and muscle tissue ablated under wet conditions produced fewer cracks and less thermal damage around the craters than under dry conditions. In contrast to muscle, the ablation efficiency of bone under wet conditions was not higher than under dry conditions. Tissue differentiation was carried out based on measured acoustic waves. A Principal Component Analysis of the measured acoustic waves and Mahalanobis distances were used to differentiate bone and muscle under wet conditions. Bone and muscle ablated in wet conditions demonstrated a classification error of less than 6.66% and 3.33%, when measured by a microphone and a fiber Bragg grating, respectively. |
format | Online Article Text |
id | pubmed-6515417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65154172019-05-31 Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions Nguendon Kenhagho, Hervé Shevchik, Sergey Saeidi, Fatemeh Faivre, Neige Meylan, Bastian Rauter, Georg Guzman, Raphael Cattin, Philippe Wasmer, Kilian Zam, Azhar Materials (Basel) Article Smart laser technologies are desired that can accurately cut and characterize tissues, such as bone and muscle, with minimal thermal damage and fast healing. Using a long-pulsed laser with a 0.5–10 ms pulse width at a wavelength of 1.07 µm, we investigated the optimum laser parameters for producing craters with minimal thermal damage under both wet and dry conditions. In different tissues (bone and muscle), we analyzed craters of various morphologies, depths, and volumes. We used a two-way Analysis of Variance (ANOVA) test to investigate whether there are significant differences in the ablation efficiency in wet versus dry conditions at each level of the pulse energy. We found that bone and muscle tissue ablated under wet conditions produced fewer cracks and less thermal damage around the craters than under dry conditions. In contrast to muscle, the ablation efficiency of bone under wet conditions was not higher than under dry conditions. Tissue differentiation was carried out based on measured acoustic waves. A Principal Component Analysis of the measured acoustic waves and Mahalanobis distances were used to differentiate bone and muscle under wet conditions. Bone and muscle ablated in wet conditions demonstrated a classification error of less than 6.66% and 3.33%, when measured by a microphone and a fiber Bragg grating, respectively. MDPI 2019-04-24 /pmc/articles/PMC6515417/ /pubmed/31022964 http://dx.doi.org/10.3390/ma12081338 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nguendon Kenhagho, Hervé Shevchik, Sergey Saeidi, Fatemeh Faivre, Neige Meylan, Bastian Rauter, Georg Guzman, Raphael Cattin, Philippe Wasmer, Kilian Zam, Azhar Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions |
title | Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions |
title_full | Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions |
title_fullStr | Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions |
title_full_unstemmed | Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions |
title_short | Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions |
title_sort | characterization of ablated bone and muscle for long-pulsed laser ablation in dry and wet conditions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515417/ https://www.ncbi.nlm.nih.gov/pubmed/31022964 http://dx.doi.org/10.3390/ma12081338 |
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