Article
Biochemistry & Molecular Biology
Grzegorz Krasowski, Pawel Migdal, Marta Woroszylo, Karol Fijalkowski, Grzegorz Chodaczek, Joanna Czajkowska, Bartlomiej Dudek, Joanna Nowicka, Monika Oleksy-Wawrzyniak, Bartlomiej Kwiek, Justyna Paleczny, Malwina Brozyna, Adam Junka
Summary: Staphylococcal biofilms are a major cause of non-healing wound infections, and treatment usually involves the use of locally applied antiseptic agents. This study proposes and evaluates a method for assessing the impact of antiseptics on staphylococcal biofilms in vitro, based on processed images. The results show that polyhexanide and povidone-iodine have significantly higher activity against staphylococcal biofilms compared to hypochlorite. Considering that in vitro results often inform the use of antiseptic agents in hospitals and clinics, this study provides important quantitative data.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Computer Science, Artificial Intelligence
Raidel Herrera-Pereda, Alberto Taboada Crispi, Danilo Babin, Wilfried Philips, Marcio Holsbach Costa
Summary: This review examines digital image processing for in vivo confocal microscopy images of the cornea, highlighting the lack of quantitative studies and standardization in the preprocessing stage. Most studies do not estimate the computational cost of image processing, indicating that reliable, automatic computer-assisted image analysis of the cornea remains an open issue.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Chemistry, Analytical
Soumaya Dghim, Carlos M. Travieso-Gonzalez, Radim Burget
Summary: This paper introduces the detection of Nosema disease using image processing tools, machine learning, and deep learning approaches. Two main strategies are examined: one involves extracting valuable information and features from microscopic images dataset using image processing tools and applying machine learning methods, while the other explores deep learning and transfer learning.
Article
Polymer Science
Claudia Leimhofer, Alexander Hammer, Wolfgang Roland, Saskia Dollberger, Timo Ehrmann, Gerald Berger-Weber, Sabine Hild
Summary: When two compatible polymer melts come into contact, a diffuse interphase forms and controls the adhesion between them. Interdiffusion is mainly determined by processing conditions and physico-chemical properties. This study investigated interdiffusion under co-extrusion flow conditions and found that shear influence significantly increases the interdiffusion rate. A simple analytical model was developed to quantify the effects of material properties and processing conditions on the apparent mutual interdiffusion coefficient.
JOURNAL OF APPLIED POLYMER SCIENCE
(2023)
Article
Crystallography
Christoph Helfenritter, Matthias Kind
Summary: Many solid forming processes involve crystallization from multi-component solutions. In order to predict the final phase assemblages, it is important to know the kinetics of multi-component phase transfer. However, current methods for determining these kinetics are lacking. Researchers propose a new method using desupersaturation measurements to predict phase transfer kinetics. They successfully demonstrate the effectiveness of this method in a model system.
Article
Computer Science, Artificial Intelligence
Li Guo, Yonghong Peng, Rui Qin, Bingyu Liu
Summary: This paper presents the use of deep learning models for direct ore feed load estimation from ore pellet images in order to overcome the challenges in obtaining ore characteristics in production environments. Through a weakly supervised learning approach and a two-stage model training algorithm, competitive model performance has been achieved.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Analytical
Yunjin Jeong, Haewook Jang, Junwon Kang, Juhong Nam, Kyoungseob Shin, Sunghoon Kwon, Jungil Choi
Summary: The emergence of antibiotic resistance is a global issue threatening society. Using color-coded droplets to expand the multiplexing of AST can differentiate the type and concentration of antibiotics, providing a robust and scalable platform for testing multiple conditions efficiently. The system can be applied to various drug testing systems, showing promising results for future applications.
Article
Spectroscopy
Xinlong He, Jifen Wang, Chunfang Gao, Yiran Liu, Zhuorong Li, Na Li, Jinming Xia
Summary: A feasible, effective, and non-destructive method using Microscopic Laser Raman spectroscopy and chemometrics was proposed for differentiation of architectural paints. Experimental validation showed the optimal data processing method and discriminant model, demonstrating the significant potential of this method in forensic science.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Polymer Science
Beibei Wu, Yuqing Lai, Yongfeng Men
Summary: In this study, the form II to I transition in isotactic polybutene-1 (PB-1) at room temperature was investigated using spherulites with few inter-crystalline links between adjacent lamellae, which were obtained by isothermally crystallizing two different molar mass PB-1 samples. Surprisingly, the spherulite of the higher molar mass PB-1 exhibited a higher gross transition rate at the late stage compared to the lower molar mass one.
Article
Microscopy
Boyuan Ma, Bin Ma, Mingfei Gao, Zixuan Wang, Xiaojuan Ban, Haiyou Huang, Weiheng Wu
Summary: Microscopic images are crucial for recording microstructure information of materials, but random damaged regions in these images can cause information loss and affect the accuracy of microstructural characterisation. To address this, a deep learning-based automatic method is provided for detecting and inpainting damaged regions, achieving promising performance for material microstructure characterisation.
JOURNAL OF MICROSCOPY
(2021)
Review
Chemistry, Multidisciplinary
Jingchao Ma, Chenfei Hu, Peng Zhou, Fangfang Jin, Xu Wang, Haiyou Huang
Summary: The deep learning-based image segmentation approach has become mainstream in microscopic image analysis. However, the lack of sufficient data due to the high cost of image acquisition and annotation limits the accuracy and generalizability of these approaches. Image augmentation, as a necessary module for deep learning-based material microscopic image analysis, can increase the amount of data in a short time by mathematical simulation.
APPLIED SCIENCES-BASEL
(2023)
Article
Spectroscopy
Dan Li, Peipei Zhou, Yufei Hu, Gongke Li, Ling Xia
Summary: In this study, triphenylamine functionalized polyhedral oligomeric silsesquioxane (POSS@TPA) with a stable structure and accomplished pore performance was prepared and used as a fluorescence sensor for the selective adsorption of Sudan I. It showed great potential for rapid and accurate detection of Sudan I in cakes.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Biochemistry & Molecular Biology
Chi Zhang, Hao Jiang, Weihuang Liu, Junyi Li, Shiming Tang, Mario Juhas, Yang Zhang
Summary: In this study, a model based on Cycle Generative Adversarial Network (CycleGAN) and a multi-component weighted loss function was developed to address the issue of out-of-focus microscopic images. The proposed model achieved state-of-the-art performance in deblurring and demonstrated excellent generalization capabilities.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Astronomy & Astrophysics
Pierre-Antoine Thouvenin, Abdullah Abdulaziz, Arwa Dabbech, Audrey Repetti, Yves Wiaux
Summary: Upcoming radio interferometers aim to achieve high-resolution and high-sensitivity imaging of the sky, with the SKA reaching a petabyte scale. Modern proximal optimization algorithms outperform clean techniques by injecting complex image models for regularization and parallelizing large data volumes with splitting functionality. This study introduces the "Faceted HyperSARA" algorithm, which decomposes the image cube into spatiospectral facets and enables parallel processing of facet-specific regularization terms. The algorithm also incorporates reliable heuristics for automatic setting of regularization parameters. Simulation results confirm the increased parallelization capability of faceting compared to the non-faceted approach (HyperSARA).
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Ecology
Rakesh Chandra Joshi, Saumya Dhup, Nutan Kaushik, Malay Kishore Dutta
Summary: A new method for automatically estimating oil content in microalgae using microscopic images has been developed, showing low average error and low time complexity.
ECOLOGICAL INFORMATICS
(2021)
Article
Chemistry, Analytical
Gang Qu, Yuxin Zhao, Qiaoli Zhang, Jina Wu, Xiaosen Li, Yang Yang, Shilei Liu
Summary: In this study, magnetic mesoporous materials combined with real-time in situ mass spectrometry were used for the high-throughput detection of hydrolyzed products of organophosphorus nerve agents. The method showed good linearity, low limits of detection and quantification, and high extraction recoveries. The magnetic preparation method used was quick, cost-effective, rugged, and safe. The results demonstrated the potential of this method for rapid and efficient determination of the target analytes in environmental samples.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Anna Hildebrand, Mariam Merchant, Danny O'Hare
Summary: Substandard and falsified artemisinin derivatives in antimalarials have caused significant deaths and economic losses. This study evaluates the feasibility of voltammetric methods for identifying and quantifying artemether. The findings suggest that electrochemical analysis shows promise as a method for artemether identification and quantification.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Marx Osorio Araujo Pereira, Alvaro Ferreira Junior, Edson Silvio Batista Rodrigues, Helena Mulser, Giovanna Nascimento de Mello e Silva, Wallans Torres Pio dos Santos, Eric de Souza Gil
Summary: Brazilian spotted fever (BSF) is a serious and rapidly evolving disease. A new impedimetric immunosensor was developed for rapid diagnosis by measuring specific antibodies in plasma. The sensor demonstrated selectivity and accuracy, and has potential for important applications in diagnostic testing.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Kathrin Schilling, Ronald A. Glabonjat, Olgica Balac, Marta Galvez-Fernandez, Arce Domingo-Relloso, Vesna Slavkovich, Jeff Goldsmith, Miranda R. Jones, Tiffany R. Sanchez, Ana Navas-Acien
Summary: Analysis of trace elements in urine is an important tool for assessing exposures, diagnosing nutritional status, and guiding public health and healthcare intervention. This study provides a sensitive method for analyzing 18 elements in urine samples, using only 100 μL. The results show good accuracy and sensitivity of the method.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Mengya Li, Shijie Liu, Shiliang Guo, Dong Liang, Miaoyun Li, Yaodi Zhu, Lijun Zhao, Jong-Hoon Lee, Gaiming Zhao, Yangyang Ma, Yanxia Liu
Summary: In this study, a magnetic flow device was developed to purify spores in a culture medium system. The device used magnetic nanoparticles to absorb vegetative cells, separating them from the spores. The achieved purity of the collected spores was over 95%. The study also demonstrated a rapid quantitative detection method using Raman spectroscopy.
ANALYTICAL METHODS
(2024)
Article
Chemistry, Analytical
Wanqiong Liu, Zixuan Wu, Jianwei Peng, Zebin Xu, Yong Liang
Summary: Metal-organic frameworks (MOFs) are effective carriers for molecular imprinting, but their poor dispersibility in aqueous solution is a significant drawback. In this study, we have applied amphiphilic block copolymers and molecularly imprinted technology on MOFs to improve the hydrophilicity of molecularly imprinted fluorescent materials.
ANALYTICAL METHODS
(2024)
