A5005359333- Metabolomics and Mass Spectrometry Studies
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Isotope Analysis in Ecology
- Analytical Chemistry and Chromatography
- Brain Tumor Detection and Classification
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Advanced Chemical Sensor Technologies
- Data Analysis with R
- Scientific Computing and Data Management
- Children's Physical and Motor Development
- Neuroscience and Neuropharmacology Research
- Mitochondrial Function and Pathology
- Atomic and Subatomic Physics Research
- Muscle activation and electromyography studies
- Molecular Biology Techniques and Applications
- Nuclear Physics and Applications
- Bacterial Infections and Vaccines
- Cerebral Palsy and Movement Disorders
- Spectroscopy and Chemometric Analyses
- Cell Image Analysis Techniques
Moscow Institute of Physics and Technology
2015-2022
Moscow Power Engineering Institute
2020-2021
Moscow Aviation Institute
2021
Institute of Energy Problems of Chemical Physics
2015-2017
Abstract In this work, we demonstrate a new approach for assessing the stability and reproducibility of mass spectra obtained via ambient ionization methods. This method is suitable both comparing experiments during which only one spectrum measured evaluating internal homogeneity collected over period time. The uses Pearson’s r coefficient cosine measure to compare spectra. It based on visualization dissimilarities between measurements, thus leading analysis dissimilarity patterns....
The development of perspective diagnostic techniques in medicine requires efficient high-throughput biological sample analysis methods. Here, we present an inline cartridge extraction that facilitates the screening rate mass spectrometry shotgun lipidomic tissue samples. We illustrate method by its application to tumor identification neurosurgery. In perspective, this high-performance provides new possibilities for investigation cancer pathogenesis and metabolic disorders.
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...
Detection of the brain tumor margins is one most significant problems in neurosurgery. Several mass spectrometry-based approaches have been proposed recently for boundary detection. One them, spray from tissue does not require sample preparation but needs special algorithms analysis its spectra. Here we feature selection algorithm designed spray-from-tissue data.
The mass-spectrometry is the promising tool for fast characterization of brain biopsy samples as a part intraoperative identification tumor boundary. spray-from-tissue ambient ionization method new instrument analysis soft tissues without sample preparation. In this contribution, we analyze performance multi-label classification techniques in detection and necrosis fragments within sample.
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...
Express MS identification of biological tissues has become a much more accessible research method due to the application direct specimen ionization at atmospheric pressure. In contrast traditional methods analysis employing GC-MS for determining molecular composition analyzed objects it eliminates influence mutual ion suppression. Despite significant progress in field tissues, question mass spectrometric profile attribution certain type tissue still remains open. The use modern machine...
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...
Ex-vivo molecular profiling has recently emerged as a promising method for intraoperative tissue identification, especially in neurosurgery. The short-term storage of resected samples at room temperature is proposed to have negligible influence on the lipid profiles. However, detailed investigation profile stability required implement clinic. This study evaluates effect media, temperature, and washing solution determine conditions that provide stable reproducible profiles, with help ambient...
In this work, we demonstrate a new approach for interactively assessing hyperspectral data spatial structures heterogeneity using mass spectrometry imaging. This is based on the visualization of cosine distance as similarity levels between spectra chosen region and rest image (sample). The applicability method demonstrated set images frontal mouse brain slices. Selection reference pixel spectrometric further view corresponding map helps to prepare supporting vectors analysis, select...
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...
<ns4:p>Mass spectrometry imaging is a promising tool complement to the histology study for evaluation of presence different tissue types in sample. To make this method faster, more accurate and precise we have presented earlier cosine similarity measure maps (CSMM). The provides spatial distribution metrics between chosen MSI pixel rest image. In cases when samples under test are heterogeneous not guaranteed clear clusters with distinct borders, it interesting analyze heterogeneity, area...
<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...