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http://dx.doi.org/10.1007/s00402-024-05747-y | DOI Listing |
Talanta
March 2025
European Commission, Joint Research Centre (JRC), Karlsruhe, Germany.
In this paper we present the high-precision and accurate Th/Th isotope ratio measurement by a novel multi-collector inductively coupled plasma mass spectrometer with a pre-cell mass filter and a MS/MS collision/reaction cell (Neoma™ MC-ICP-MS/MS). No tailing correction is needed for the Th signal, as the tailing of an adjacent high intensity peak (abundance sensitivity) is effectively reduced due to high extent of Ar-based ion removal before the electrostatic analyser/magnetic sector. The obtained abundance sensitivity at m-2 (i.
View Article and Find Full Text PDFUltramicroscopy
March 2025
Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons, Forschungszentrum Jülich, 52425 Jülich, Germany.
Collecting and averaging large datasets is a common practice in transmission electron microscopy to improve the signal-to-noise ratio. Averaging data in off-axis electron holography requires automated tools capable of correcting both the drift of the interference fringes and the drift of the specimen. This can be achieved either off-line, by post-processing hologram series, or on-line, through real-time microscope control.
View Article and Find Full Text PDFYi Chuan
March 2025
College of Animal Science and Technology, Yangtze University, Jingzhou 434025, China.
Single-cell transcriptome sequencing (scRNA-seq) is widely used in the fields of animal and plant developmental biology and important trait analysis by obtaining single-cell transcript abundance data in high throughput, which can deeply reveal cell types, subtype composition, specific gene markers and functional differences. However, scRNA-seq data are often accompanied by problems such as high noise, high dimensionality and batch effect, resulting in a large number of low-expressed genes and variants, which seriously affect the accuracy and reliability of data analysis. This not only increases the complexity of data processing, but also limits the effectiveness of feature selection and downstream analysis.
View Article and Find Full Text PDFFluorescence Lifetime Imaging Microscopy (FLIM) quantifies the autofluorescence lifetime to measure cellular metabolism, therapeutic efficacy, and disease progression. These dynamic processes are intrinsically heterogeneous, increasing the complexity of the signal analysis. Often noise reduction strategies that combine thresholding and non-selective data smoothing filters are applied.
View Article and Find Full Text PDFNumerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-to-noise ratio of EEG data, resulting in decreased statistical power for conventional univariate analyses. However, it is not clear whether eliminating these artifacts during preprocessing enhances the performance of multivariate pattern analysis (MVPA; ), especially given that artifact rejection reduces the number of trials available for training the decoder. This study aimed to evaluate the impact of artifact-minimization approaches on the decoding performance of support vector machines.
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