NanoSIMS image enhancement by reducing random noise using low‐rank method

Lin, Yan-Bo; Hao, Jialong; Miao, Zhongzheng; Zhang, Jinhai; Yang, Wei

doi:10.1002/sia.6736

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…SIMS microscopy is generally considered to be one of the most sensitive techniques. NanoSIMS50 is characterized by low background noise from the electron multipliers and ubiquitous electrical noise [56]. In our control images, the overall noise is low (about 0.23 counts per second, i.e., an average of one count per 80 pixels).…”

Section: Discussionmentioning

confidence: 96%

“…Such a threshold would have resulted in the removal of most of the positive pixels in our images, restricting the study to large aggregates only. Statistical approaches have been developed to denoise images using a Fourier transformation [57] or statistical characterization of local noise [47,56]. In this study, these methods were not applicable due to the small size of the objects to be detected and their weak signals.…”

Section: Discussionmentioning

confidence: 99%

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The High Resolutive Detection of TiO2 Nanoparticles in Human Corneocytes via TEM/NanoSIMS Correlation

Janin,

Delaune,

Gibouin

et al. 2023

Applied Sciences

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Titanium dioxide (TiO2) nanoparticles (NPs) are the subject of numerous studies and controversies on the risks they could pose to the environment and human health. When in contact with biological tissues, NPs can sometimes be challenging to precisely localize within subcellular structures (typically around 0.1 µm) when they exist as isolated NPs, particularly when using the SIMS approach. Indeed, the chemical signals produced by isolated NPs are very low, so they can be confused with background signals. This was the motivation behind our development of a new strategy for correlating TEM/SIMS to detect TiO2 NPs in close proximity to cutaneous corneocytes. For this purpose, we initially developed a new tool for TEM and SIMS image registration based on a non-rigid image-deformation-enabling image overlay. Combining SIMS and TEM data through this overlay enhances NP localization’s precision. Secondly, we developed an algorithm based on the statistical analysis of multiplane SIMS images to denoise them. As a result, background noise was reduced, illuminating the low yet specific signals from isolated NPs. Finally, this new correlative approach enables the precise 3D localization of isolated NPs within the analyzed volume. We consider this method a breakthrough for subcellular-scale NP localization.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

The High Resolutive Detection of TiO2 Nanoparticles in Human Corneocytes via TEM/NanoSIMS Correlation

Janin,

Delaune,

Gibouin

et al. 2023

Applied Sciences

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“…On the one hand, the unique co-axial design of NanoSIMS reduces the spot size, which permits the analysis of much smaller minerals and mapping of the elemental distribution in crystal micro-structures. 9,27,28,31,[38][39][40][41][42][43][44][45][46] On the other hand, NanoSIMS has a smaller analysis chamber which is helpful in decreasing the chamber vacuum and thus, the hydrogen background. Although previous studies have reduced the background for water analysis to < 10 ppm by using NaonSIMS, the spatial resolution was restricted to > 10 μm.…”

Section: Introductionmentioning

confidence: 99%

High-Spatial-Resolution Measurement Of Water Content In Olivine Using NanoSIMS 50L

Hao¹,

Yang²

2022

At.Spectrosc.

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Olivine is the most abundant mineral in the planetary mantle. Its water content provides critical constraints on the processes and dynamics of the planetary interior. Olivine usually develops zonings with typical widths of 5-20 μm, which requires high spatial resolution. For secondary ion mass spectrometry (SIMS) measurements, primary beams with low currents were utilized to achieve high spatial resolution. However, this strategy also resulted in high background, which cannot be applied to nominally anhydrous minerals, e.g., olivine. Therefore, achieving high spatial resolution with low background is essential but challenging. For example, even though the NanoSIMS is designed for high-spatial-resolution measurements, the spatial resolution remained at > 10 μm for water content analysis in order to maintain a low water background of < 10 ppm. In this study, we optimized the primary beam settings and raster size for water content analysis of olivine using a CAMECA NanoSIMS 50L to improve the spatial resolution and the background simultaneously. Olivine standard samples (KLB-1, ICH-30, Mongok) with a water content ranging from 11.2 ppm to 70.6 ppm were measured for water content calibration with 1 H -/ 16 Oratio. San Carlos olivine with a water content of 1.42 ppm was used for background monitoring. The results showed that a spatial resolution of ~6 μm (primary beam size + raster size) with a background of 6 ± 2 ppm could be achieved by applying a Cs + beam current of 2 nA with a diameter of ~2 μm, rastering an area of 4 × 4 μm 2 . The analytical reproducibility of this method is better than 13% for standard samples with a water content of > 10 ppm. Overall, this method improved the spatial resolution for measuring water content by a factor of ~2 (in comparison to previous studies) and could be applied to olivine grains with complex zoning.

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A Multispectral Denoising Framework for Seismic Random Noise Attenuation

Lin

Zhang

2022

IEEE Trans. Geosci. Remote Sensing

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NanoSIMS image enhancement by reducing random noise using low‐rank method

Cited by 4 publications

References 26 publications

The High Resolutive Detection of TiO2 Nanoparticles in Human Corneocytes via TEM/NanoSIMS Correlation

The High Resolutive Detection of TiO2 Nanoparticles in Human Corneocytes via TEM/NanoSIMS Correlation

High-Spatial-Resolution Measurement Of Water Content In Olivine Using NanoSIMS 50L

A Multispectral Denoising Framework for Seismic Random Noise Attenuation

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