| Full text | |
| Author(s): |
Moreira, Murilo
;
Hillenkamp, Matthias
;
Divitini, Giorgio
;
Tizei, Luiz H. G.
;
Ducati, Caterina
;
Cotta, Monica A.
;
Rodrigues, Varlei
;
Ugarte, Daniel
Total Authors: 8
|
| Document type: | Journal article |
| Source: | Microscopy and Microanalysis; v. 28, n. 3, p. 9-pg., 2022-04-18. |
| Abstract | |
Analytical studies of nanoparticles (NPs) are frequently based on huge datasets derived from hyperspectral images acquired using scanning transmission electron microscopy. These large datasets require machine learning computational tools to reduce dimensionality and extract relevant information. Principal component analysis (PCA) is a commonly used procedure to reconstruct information and generate a denoised dataset; however, several open questions remain regarding the accuracy and precision of reconstructions. Here, we use experiments and simulations to test the effect of PCA processing on data obtained from AuAg alloy NPs a few nanometers wide with different compositions. This study aims to address the reliability of chemical quantification after PCA processing. Our results show that the PCA treatment mitigates the contribution of Poisson noise and leads to better quantification, indicating that denoised results may be reliable from the point of view of both uncertainty and accuracy for properly planned experiments. However, the initial data need to be of sufficient quality: these results can only be obtained if the signal-to-noise ratio of input data exceeds a minimal value to avoid the occurrence of random noise bias in the PCA reconstructions. (AU) | |
| FAPESP's process: | 14/01045-0 - Advanced electron microscopy studies of metallic clusters and nanocomposites materials for photovoltaic applications |
| Grantee: | Daniel Mario Ugarte |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 13/10957-0 - Xylella fastidiosa-vector-host plant interaction and approaches for citrus variegated chlorosis and citrus canker control |
| Grantee: | Alessandra Alves de Souza |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 16/12807-4 - Polymer layers with embedded metal nanoparticles: building blocks for (bio)sensors |
| Grantee: | Osvaldo Novais de Oliveira Junior |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |
| FAPESP's process: | 07/01722-9 - Development of a mass selected metallic nano-aggregate source |
| Grantee: | Varlei Rodrigues |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 13/02300-1 - Semiconductor nanowires: formation mechanisms and biosensing applications |
| Grantee: | Mônica Alonso Cotta |
| Support Opportunities: | Regular Research Grants |