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Promising mass spectrometry imaging: exploring microscale insights in food.
Crit Rev Food Sci Nutr
January 2025
State Key Laboratory of Marine Food Processing and Safety Control, College of Food Science and Engineering, Ocean University of China, Qingdao, China.
This review focused on mass spectrometry imaging (MSI), a powerful tool in food analysis, covering its ion source schemes and procedures and their applications in food quality, safety, and nutrition to provide detailed insights into these aspects. The review presented a detailed introduction to both commonly used and emerging ionization sources, including nanoparticle laser desorption/ionization (NPs-LDI), air flow-assisted ionization (AFAI), desorption ionization with through-hole alumina membrane (DIUTHAME), plasma-assisted laser desorption ionization (PALDI), and low-temperature plasma (LTP). In the MSI process, particular emphasis was placed on quantitative MSI (QMSI) and super-resolution algorithms.
View Article and Find Full Text PDF3D Cryo-Correlative Methods to Study Virus Structure and Dynamics Within Cells.
Subcell Biochem
December 2024
Department of Macromolecular Structure, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.
Understanding the dynamic processes involving virus structural components within host cells is crucial for comprehending viral infection, as viruses rely entirely on host cells for replication. Viral infection involves various intracellular stages, including cell entry, genome uncoating, replication, transcription and translation, assembly of new virus particles in a complex morphogenetic process, and the release of new virions from the host cell. These events are dynamic and scarce and can be obscured by other cellular processes, necessitating novel approaches for their in situ characterization.
View Article and Find Full Text PDFWe report a method for generating uniform, artifact-free total internal reflection fluorescence (TIRF) excitation via a photonic lantern. Our tapered waveguide, consisting of a multimode input and nine few-mode outputs, enables single-shot TIRF illumination from nine azimuthal directions simultaneously without the introduction of nonstationary devices. Utilizing the photonic lantern for multi-beam excitation provides a low-loss mechanism that supports a wide range of light sources, including high-coherence lasers and various wavelengths in the visible spectrum.
View Article and Find Full Text PDFTerahertz image enhancement based on a multiscale feature extraction network.
Opt Express
September 2024
Article Synopsis
- Terahertz (THz) waves have significant potential applications in military, industrial, and biomedical sectors, but challenges such as spatial limits and image clarity hinder their effectiveness.
- Thz time-domain spectroscopy (THz-TDS) imaging systems analyze samples via spectral signals, yet face difficulties with atmospheric absorption and noise.
- This study proposes a deep learning model using a generative adversarial network to enhance THz image quality, resulting in better resolution and noise reduction, particularly in images of deformed metal, outperforming existing algorithms like SRGAN and RDN.
Perceptual super-resolution in multiple sclerosis MRI.
Front Neurosci
October 2024
Imec-Vision Lab, University of Antwerp, Antwerp, Belgium.
Article Synopsis
- MRI is essential for diagnosing and monitoring multiple sclerosis (MS), but standard scans often have limited resolution due to thick slices, which affects automated analysis.
- This study introduces a single-image super-resolution (SR) reconstruction framework using convolutional neural networks (CNN) to enhance MRI resolution in individuals with MS.
- The results show that the SR method significantly improves MRI reconstruction accuracy and lesion segmentation, making it a valuable tool for analyzing low-resolution MRI data in clinical settings.
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