A5015064108- Spectroscopy and Chemometric Analyses
- Spectroscopy Techniques in Biomedical and Chemical Research
- Metabolomics and Mass Spectrometry Studies
- Microbial Community Ecology and Physiology
- Genomics and Phylogenetic Studies
- Optical Imaging and Spectroscopy Techniques
- Spectroscopy and Laser Applications
- Remote Sensing in Agriculture
- Mycotoxins in Agriculture and Food
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- Advanced Chemical Sensor Technologies
- Robotic Path Planning Algorithms
Norwegian University of Life Sciences
2021-2024
United Institute of Informatics Problems
2020-2021
National Academy of Sciences of Belarus
2020
Belarusian State University
2017
Infrared spectroscopy hampered by physical distortions from scattering and instrumental effects. Therefore, it is generally accepted that spectra should be pre-processed before further data analysis. Deep learning community offers augmentation techniques as an alternative approach to deal with variability in the data. In this paper we propose Extended Multiplicative Signal Augmentation (EMSA) method for augmenting infrared spectra. order study effect of pre-processing combine them a wide...
Abstract Temperature significantly impacts bacterial physiology, metabolism and cell chemistry. In this study, we analysed lipids the total cellular biochemical profile of 74 fast‐growing Antarctic bacteria grown at different temperatures. Fatty acid diversity temperature‐induced alterations aligned with classification—Gram‐groups, phylum, genus species. Total lipid content, varied from 4% to 19% dry weight, was genus‐ species‐specific. Most increased content lower The effect temperature on...
Infrared spectroscopy of cells and tissues is prone to Mie scattering distortions, which grossly obscure the relevant chemical signals. The state-of-the-art extinction extended multiplicative signal correction (ME-EMSC) algorithm a powerful tool for recovery pure absorbance spectra from highly scatter-distorted spectra. However, computationally expensive large infrared imaging datasets requires weeks computations. In this paper, we present deep convolutional descattering autoencoder (DSAE)...
Interband cascade lasers (ICL) are high output power mid-infrared light sources with low consumption, serving as a viable alternative to more commonly applied quantum lasers. The integration of ICLs thin-film waveguides facilitates miniaturized sensing platforms based on the principles evanescent field absorption toward tailorable high-fidelity portable (MIR) solutions for on-site chemical analysis. analytical performance MIR system is presented combining tunable interband laser emitting at...
Fourier transform infrared (FTIR) spectroscopy is a biophysical technique used for non-destructive biochemical profiling of biological samples. It can provide comprehensive information about the total cellular profile microbial cells. In this study, FTIR was to perform characterization twenty-nine bacterial strains isolated from Antarctic meltwater ponds. The bacteria were grown on two forms brain heart infusion (BHI) medium: agar at six different temperatures (4, 10, 18, 25, 30, and 37°C)...
Infrared spectroscopy delivers abundant information about the chemical composition, as well structural and optical properties of intact samples in a non-destructive manner. We present deep convolutional neural network which exploits all this solves full-wave inverse scattering problems thereby obtains 3D optical, from infrared spectroscopic measurements micro-samples. The proposed model encodes scatter-distorted spectra infers distribution complex refractive index function concentrically...