Graphene edge method for three‐dimensional probing of Raman microscopes focal volumes

Sacco, Alessio; Portesi, C.; Giovannozzi, Andrea Mario; Rossi, Andrea Mario

doi:10.1002/jrs.6187

Cited by 3 publications

(3 citation statements)

References 48 publications

(73 reference statements)

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“…This common procedure of moving the laser beam across a well-defined edge has been described in the literature previously. 37 , 38 SERDS spectra were recorded comprising a total lateral distance of 800 µm around the edge of the silicon specimen. Figure 2b displays the calculated net intensities of the 520 cm −1 silicon Raman band normalized to their maximum as black open square symbols.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 2b displays the calculated net intensities of the 520 cm −1 silicon Raman band normalized to their maximum as black open square symbols. The experimental data was then fitted using a Gaussian error function 38 that is displayed as solid blue line. Subsequently, the transition width defined as four times the width parameter of the Gaussian profile can be used to determine the lateral resolution.…”

Section: Resultsmentioning

confidence: 99%

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Determination of Soil Constituents Using Shifted Excitation Raman Difference Spectroscopy

2022

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Soil analysis to estimate soil fertility parameters is of great importance for precision agriculture but nowadays it still relies mainly on complex and time-consuming laboratory methods. Optical measurement techniques can provide a suitable alternative. Raman spectroscopy is of particular interest due to its ability to provide a molecular fingerprint of individual soil components. To overcome the major issue of strong fluorescence interference inherent to soil, we applied shifted excitation Raman difference spectroscopy (SERDS) using an in-house-developed dual-wavelength diode laser emitting at 785.2 and 784.6 nm. To account for the intrinsic heterogeneity of soil components at the millimeter scale, a raster scan with 100 individual measurement positions has been applied. Characteristic Raman signals of inorganic (quartz, feldspar, anatase, and calcite) and organic (amorphous carbon) constituents within the soil could be recovered from intense background interference. For the first time, the molecule-specific information derived by SERDS combined with partial least squares regression was demonstrated for the prediction of the soil organic matter content (coefficient of determination R2 = 0.82 and root mean square error of cross validation RMSECV = 0.41%) as important soil fertility parameter within a set of 33 soil specimens collected from an agricultural field in northeast Germany.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Determination of Soil Constituents Using Shifted Excitation Raman Difference Spectroscopy

2022

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“…The region growth algorithm is used to segment the laser foot points of the building in 3D reality. The region growth algorithm can segment the connected regions with the same characteristics and provide good boundary information and segmentation results, and can be used to segment the LiDAR point cloud data with relatively complex 3D reality [6][7]. The region growth algorithm process is shown in Figure 1.…”

Section: Obtain 3d Real Lidar Point Cloud Datamentioning

confidence: 99%

Laser 3D realistic reconstruction and lightweight access method based on LiDAR point cloud

Zheng,

Xu,

Shu

et al. 2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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In complex outdoor environments, processing a large amount of point cloud data and restoring the precise structure of real scenes is a key difficulty in real scene reconstruction. To this end, a laser 3D real scene reconstruction and lightweight access method based on LiDAR point cloud is proposed. Using region growing algorithm to segment laser foot points of buildings in 3D reality and obtain LiDAR point cloud data of 3D reality. Using the Euler Lagrange equation to establish a 3D data field for laser 3D real scene image reconstruction, and completing the 3D reconstruction of laser 3D real scene images. Using SSD lightweight algorithm to perform regression classification on the extracted target features, in order to locate targets of different scales and achieve lightweight access to 3D real-world image targets. The experimental results show that the research method can accurately reconstruct three-dimensional real-life buildings with lower reconstruction errors.

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Versatile Confocal Raman Imaging Microscope Built from Off-the-Shelf Opto-Mechanical Components

Barrero

Zeller

Schlösser

et al. 2022

Sensors

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Confocal Raman microscopic (CRM) imaging has evolved to become a key tool for spatially resolved, compositional analysis and imaging, down to the μm-scale, and nowadays one may choose between numerous commercial instruments. That notwithstanding, situations may arise which exclude the use of a commercial instrument, e.g., if the analysis involves toxic or radioactive samples/environments; one may not wish to render an expensive instrument unusable for other uses, due to contamination. Therefore, custom-designed CRM instrumentation—being adaptable to hazardous conditions and providing operational flexibility—may be beneficial. Here, we describe a CRM setup, which is constructed nearly in its entirety from off-the-shelf optomechanical and optical components. The original aim was to develop a CRM suitable for the investigation of samples exposed to tritium. For increased flexibility, the CRM system incorporates optical fiber coupling to both the Raman excitation laser and the spectrometer. Lateral raster scans and axial profiling of samples are facilitated by the use of a motorized xyz-translation assembly. Besides the description of the construction and alignment of the CRM system, we also provide (i) the experimental evaluation of system performance (such as, e.g., spatial resolution) and (ii) examples of Raman raster maps and axial profiles of selected thin-film samples (such as, e.g., graphene sheets).

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Graphene edge method for three‐dimensional probing of Raman microscopes focal volumes

Cited by 3 publications

References 48 publications

Determination of Soil Constituents Using Shifted Excitation Raman Difference Spectroscopy

Determination of Soil Constituents Using Shifted Excitation Raman Difference Spectroscopy

Laser 3D realistic reconstruction and lightweight access method based on LiDAR point cloud

Versatile Confocal Raman Imaging Microscope Built from Off-the-Shelf Opto-Mechanical Components

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