Norm-SVR for the Enhancement of Single-Cell Metabolomic Stability in ToF-SIMS.

ABSTRACT: Purpose: Data stability is a critical factor in Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) single-cell analysis. However, various factors, such as sample processing, instrument condition, and data acquisition, can introduce uncertainties into ToF-SIMS data. Correcting this data is vital, yet current methods mainly focus on total ion intensity normalization or using consistent substrates. No specific correction method exists for ToF-SIMS single-cell metabolomics. Methods: This study utilizes the Normalized Support Vector Regression (Norm-SVR), commonly used methods for correcting large-scale metabolomics data, for the correction of ToF-SIMS single-cell metabolomic analysis and assesses its performance in comparison to traditional total ion intensity normalizatio

SUBMITTER: Liu M 

PROVIDER: S-EPMC12844169 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature