A5045718005- Mass Spectrometry Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Isotope Analysis in Ecology
- Ion-surface interactions and analysis
- Cancer, Lipids, and Metabolism
- Neuroscience and Neuropharmacology Research
- Machine Learning in Materials Science
- Advanced Chemical Sensor Technologies
Moscow Institute of Physics and Technology
2019-2024
Moscow Power Engineering Institute
2022-2023
Recently, mass-spectrometry methods show its utility in tumor boundary location. The effect of differences between research and clinical protocols such as low- high-resolution measurements sample storage have to be understood taken into account transfer from bench bedside. In this study, we demonstrate a simple way compare mass spectra obtained by different experimental protocols, assess quality, check for the presence outliers batch dataset. We both fresh frozen-thawed astrocytic brain...
Rapid and reliable methods for detecting tumor margins are crucial neuro-oncology. Several mass spectrometry-based have been recently proposed to address this problem. Inline Cartridge Extraction (ICE) demonstrates the potential clinical application, based on ex-vivo analysis of dissected tissues, but requires time-consuming steps avoid cross-contamination. In work, a method incorporating disposable electrospray emitter into ICE cartridge by PEEK sleeves melting is developed. It reduces...
Recently developed methods of ambient ionization allow the collection mass spectrometric datasets for biological and medical applications at an unprecedented pace. One areas that could employ such analysis is neurosurgery. The fast in situ identification dissected tissues assist neurosurgery procedure. In this paper tumor astrocytoma glioblastoma are compared. vast majority data representation hard to use, as number features high amount samples limited. Furthermore, ratio restricts use many...
Alterations in cell metabolism, including changes lipid composition occurring during malignancy, are well characterized for various tumor types. However, a significant part of studies that deal with brain tumors have been performed using cultures and animal models. Here, we present dataset 124 high-resolution negative ionization mode profiles human resected neurosurgery. The is supplemented 38 non-tumor pathological tissue samples elective surgery. change alterations enables the possibility...
The automatic processing of high-dimensional mass spectrometry data is required for the clinical implementation ambient ionization molecular profiling methods. However, complex algorithms analysis peak-rich spectra are sensitive to quality input data. Therefore, an objective and quantitative indicator, insensitive conditions experiment, currently in high demand automated treatment spectrometric In this work, we demonstrate utility Shapley value as indicator individual spectrum classification...
Mass spectrometry fingerprinting combined with multidimensional data analysis has been proposed in surgery to determine if a biopsy sample is tumor. In the specific case of brain tumors, it complicated obtain control samples, leading model overfitting due unbalanced cohorts. Usually, classifiers are trained using single measurement regime, most notably ion polarity, but mass range and spectral resolution could also be varied. It known that lipid groups differ significantly their ability...
<ns4:p><ns4:bold>Background:</ns4:bold> Ambient ionisation mass spectrometry, in combination with machine learning techniques, provides a promising tool for rapid intraoperative tumour tissue identification. However, deficiency of non-tumour control samples leads to the classifiers overfitting, especially neurosurgical applications. Ensemble approaches based on analysis multimodal spectrometry data are able overcome overfitting problem through extended time acquisition. In this work,...
Mass spectrometry (MS) methods are widely used for the analysis of biological and medical samples. Recently developed methods, such as DESI, REIMS NESI allow fast analyses without sample preparation at cost higher variability spectra. In biology medicine, MS profiles often with machine learning (classification, regression, etc.) algorithms statistical analysis, which sensitive to outliers intraclass variability. Here, we present spectra similarity matrix (SSM) Display software, a tool visual...
<ns3:p><ns3:bold>Background: </ns3:bold>The development of direct ambient ionization methods makes way for fast mass-spectrometry profiling biological samples, which has great potential in medicine. Those methods, unlike traditional mass spectrometric analysis with chromatographic separation, are not able to take into account inter-ion interaction, ion suppression, and matrix effect due the absence separation mixture components. So dynamics current during mass-spectra is governed by...
<ns3:p><ns3:bold>Background:</ns3:bold> Recently developed methods of ambient ionization allow rapid obtaining large mass spectrometric datasets, which have a great application in biological and medical analysis. One the areas that could employ such analysis is neurosurgery. The fast <ns3:italic>in situ </ns3:italic>identification dissected tissues assist neurosurgery procedure. additional information about tumor help border monitoring. In this paper, astrocytoma glioblastoma are compared,...