深度学习辅助的拉曼光谱用于特定矿物质的自动识别
Wangtong Dong1, Mengjiao Qin2, Sensen Wu1
1School of Earth Sciences, Zhejiang University, Hangzhou 310027 China; Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou 310028 China.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|February 15, 2025
概括
本研究介绍了一种深度学习模型,用于使用拉曼光谱法快速识别矿物质. 卷积注意网络准确地区分矿物质,帮助现场地质学中的自动化数据分析.
科学领域:
- 地质地质地质地质地质地
- 频谱学是一种光谱学.
- 人工智能的人工智能
背景情况:
- 拉曼光谱对于现场地质学中的物质鉴定至关重要.
- 对大型拉曼数据集的手动分析是耗时和劳动密集的.
- 需要自动化方法来有效标记和分类拉曼测量.
研究的目的:
- 开发一个卷积注意力网络,以从拉曼光谱中快速准确地识别矿物质.
- 与传统方法相比,提高矿物成分识别的准确性.
- 为了引入梯度重量类激活映射PlusPlus (Grad-Cam++),以实现模型的可解释性.
主要方法:
- 开发一个卷积注意力网络,利用矿物质的光谱特征.
- 使用梯度权重类激活映射PlusPlus (Grad-Cam++) 来可视化预测区域.
- 拟议模型与纯卷积神经网络 (CNN) 的比较.
主要成果:
- 卷积注意力网络在学习光谱细节,特别是特征性峰值方面表现出卓越的表现.
- 该模型有效地区分具有类似拉曼光谱的矿物质.
- 格拉德-卡姆++提供了对模型决策过程的见解.
结论:
- 开发的深度学习模型为现场拉曼光谱数据的自动标记提供了重大进展.
- 这项研究突出了在地质实地研究中光谱识别算法的潜力.
- 这项工作支持开发用于现场观测仪器的AI算法.
更多相关视频
07:51Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
Published on: June 10, 2017
11.8K
11:14Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
11.5K
相关概念视频
Raman Spectroscopy Instrumentation: Overview
286
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
286
Raman Spectroscopy: Overview
295
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
295
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview
273
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
The ATR process begins by directing a beam...
273
