Mr. Lei Qin Profile

Lei Qin

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 September 2024 Paper

Automatic focusing system for laser-induced breakdown spectroscopy based on the combination of images and spectra

Lei Yang, Wenyi Bao, Lei Qin, Sizhu Wu, Mengjie Xu, Jingjing Chen

Proceedings Volume 13178, 131781L (2024) https://doi.org/10.1117/12.3032716

KEYWORDS: Laser induced breakdown spectroscopy, Signal to noise ratio, Plasma, Spectroscopy, Convolution, Chromium, Plasma generation

Read Abstract +

In Laser-Induced Breakdown Spectroscopy (LIBS) detection, the different surface morphologies of the sample can change the focusing distance between the focusing lens and the sample surface, resulting in instability of LIBS spectra and low signal-to-noise ratio, which affects the accuracy and reliability of detection. The LIBS auto-focusing system is designed to search the optimal focusing distance and thus obtain stable and reliable spectra. By adding a visible light source, the combination of focal spot image of the visible light on the sample surface and LIBS spectra are applied to search the focus position. The focusing process is divided into coarse-step and fine-step focusing. The four-neighborhood weighted gradient operator is adopted as the evaluation index of the clarity of the visible spot image. The hill-climbing method is used to focus by coarse-step. The Self-Organizing feature Mapping (SOM) artificial neural network is established by training and learning the fused data of visible spot images and LIBS spectra, which is to achieve fine step focusing. The experimental results show that, compared with the other two focusing methods, the proposed method has the best spectral performance. Its LIBS spectral intensity is the highest and the Relative Standard Deviation (RSD) of characteristic spectral line is the lowest, average value reduced from 14.71% to 6.31%. The Signal-to-Noise Ratios (SNRs) of characteristic spectral lines of the main elements, Fe I 385.9955 nm and Cr I 513.8852 nm, are increased from 19.18 and 14.28 to 24.71 and 23.62, respectively. The spectral intensity, stability, and sensitivity are improved effectively.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years