Suppr超能文献

利用激光诱导击穿光谱法(LIBS)分析原子发射线强度比进行组织定性分化:手术激光系统反馈机制的前景

Qualitative tissue differentiation by analysing the intensity ratios of atomic emission lines using laser induced breakdown spectroscopy (LIBS): prospects for a feedback mechanism for surgical laser systems.

作者信息

Kanawade Rajesh, Mahari Fanuel, Klämpfl Florian, Rohde Maximilian, Knipfer Christian, Tangermann-Gerk Katja, Adler Werner, Schmidt Michael, Stelzle Florian

机构信息

Clinical Photonics Lab, Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg, Paul-Gordan-Straße 6, 91052, Erlangen, Germany; Institute of Photonics Technologies, Friedrich-Alexander-Universität Erlangen-Nürnberg, Konrad-Zuse-Straße 3/5, 91052 Erlangen, Germany.

出版信息

J Biophotonics. 2015 Jan;8(1-2):153-61. doi: 10.1002/jbio.201300159. Epub 2013 Dec 23.

Abstract

The research work presented in this paper focuses on qualitative tissue differentiation by monitoring the intensity ratios of atomic emissions using 'Laser Induced Breakdown Spectroscopy' (LIBS) on the plasma plume created during laser tissue ablation. The background of this study is to establish a real time feedback control mechanism for clinical laser surgery systems during the laser ablation process. Ex-vivo domestic pig tissue samples (muscle, fat, nerve and skin) were used in this experiment. Atomic emission intensity ratios were analyzed to find a characteristic spectral line for each tissue. The results showed characteristic elemental emission intensity ratios for the respective tissues. The spectral lines and intensity ratios of these specific elements varied among the different tissue types. The main goal of this study is to qualitatively and precisely identify different tissue types for tissue specific laser surgery.

摘要

本文所呈现的研究工作聚焦于通过使用“激光诱导击穿光谱法”(LIBS)监测原子发射强度比,对组织进行定性分化,该方法应用于激光组织消融过程中产生的等离子体羽流。本研究的背景是为临床激光手术系统在激光消融过程中建立一种实时反馈控制机制。本实验使用了离体的家猪组织样本(肌肉、脂肪、神经和皮肤)。分析原子发射强度比以找到每种组织的特征光谱线。结果显示了各组织的特征元素发射强度比。这些特定元素的光谱线和强度比在不同组织类型中有所不同。本研究的主要目标是为组织特异性激光手术定性且精确地识别不同的组织类型。

相似文献

3
Multimodal feedback systems for smart laser osteotomy: Depth control and tissue differentiation.
Lasers Surg Med. 2023 Dec;55(10):900-911. doi: 10.1002/lsm.23732. Epub 2023 Oct 23.
5
Laser induced breakdown spectroscopy for bone and cartilage differentiation - ex vivo study as a prospect for a laser surgery feedback mechanism.
Biomed Opt Express. 2014 Oct 21;5(11):4013-23. doi: 10.1364/BOE.5.004013. eCollection 2014 Nov 1.
6
Mapping and elemental fractionation of aerosols generated by laser-induced breakdown ablation.
Anal Bioanal Chem. 2005 Dec;383(7-8):1090-7. doi: 10.1007/s00216-005-0126-2. Epub 2005 Nov 9.
9
Laser-Induced Breakdown Spectroscopy Combined with Temporal Plasma Analysis of C Molecular Emission for Carbon Analysis in Coal.
Appl Spectrosc. 2021 Jul;75(7):893-900. doi: 10.1177/00037028211012399. Epub 2021 May 13.

引用本文的文献

3
Real-time closed-loop tissue-specific laser osteotomy using deep-learning-assisted optical coherence tomography.
Biomed Opt Express. 2023 May 31;14(6):2986-3002. doi: 10.1364/BOE.486660. eCollection 2023 Jun 1.
5
Primary study of identification of parathyroid gland based on laser-induced breakdown spectroscopy.
Biomed Opt Express. 2021 Mar 10;12(4):1999-2014. doi: 10.1364/BOE.417738. eCollection 2021 Apr 1.
7
Combined Nd:YAG and Er:YAG lasers for real-time closed-loop tissue-specific laser osteotomy.
Biomed Opt Express. 2020 Mar 4;11(4):1790-1807. doi: 10.1364/BOE.385862. eCollection 2020 Apr 1.
8
Remote photoacoustic sensing using speckle-analysis.
Sci Rep. 2019 Jan 31;9(1):1057. doi: 10.1038/s41598-018-38446-x.
9
Elemental analysis of tissue pellets for the differentiation of epidermal lesion and normal skin by laser-induced breakdown spectroscopy.
Biomed Opt Express. 2016 Apr 4;7(5):1626-36. doi: 10.1364/BOE.7.001626. eCollection 2016 May 1.

本文引用的文献

6
Prospects for laser-induced breakdown spectroscopy for biomedical applications: a review.
Lasers Med Sci. 2011 Sep;26(5):673-87. doi: 10.1007/s10103-011-0921-2. Epub 2011 Apr 28.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验