AIMC Topic: Spectrum Analysis, Raman
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Multimodal fish maw type recognition based on Wasserstein generative adversarial network combined with gradient penalty and spectral fusion.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 10, 2024
There are many types of fish maw with significantly varying prices. The specific type directly affects its market value and medicinal efficacy. This paper proposes a fish maw type recognition method based on Wasserstein generative adversarial network...
Plasma treated bimetallic nanofibers as sensitive SERS platform and deep learning model for detection and classification of antibiotics.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 10, 2024
Design of a sensitive, cost-effective SERS substrate is critical for probing analyte in trace concentration in real field environment. Present work reports the fabrication of an oxygen (O) plasma treated bimetallic nanofibers as a sensitive SERS plat...
Rapid Raman spectroscopy analysis assisted with machine learning: a case study on Radix Bupleuri.
Journal of the science of food and agriculture
Nov 8, 2024
BACKGROUND: Radix Bupleuri has been widely used for its plentiful pharmacological effects. But it is hard to evaluate their safety and efficacy because the concentrations of components are tightly affected by the surrounding environment. Thus, Radix ...
Machine Learning Approaches for the Fusion of Near-Infrared, Mid-Infrared, and Raman Data to Identify Cartilage Degradation in Human Osteochondral Plugs.
Applied spectroscopy
Nov 8, 2024
Vibrational spectroscopy methods such as mid-infrared (MIR), near-infrared (NIR), and Raman spectroscopies have been shown to have great potential for in vivo biomedical applications, such as arthroscopic evaluation of joint injuries and degeneration...
Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time.
The Analyst
Nov 4, 2024
With greater population density, the likelihood of viral outbreaks achieving pandemic status is increasing. However, current viral screening techniques use specific reagents, and as viruses mutate, test accuracy decreases. Here, we present the first ...
Simultaneous quantitative analysis of multiple metabolites using label-free surface-enhanced Raman spectroscopy and explainable deep learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 3, 2024
Metabolites serve as vital biomarkers, reflecting physiological and pathological states and offering insights into disease progression and early detection. This study introduces an advanced analytical technique integrating label-free Surface-Enhanced...
Combining array-assisted SERS microfluidic chips and machine learning algorithms for clinical leukemia phenotyping.
Talanta
Nov 2, 2024
The disease progression and treatment options of leukemia between different subtypes vary considerably, emphasizing the importance of phenotyping. However, early typing of leukemia remains challenging due to the lack of highly sensitive and specific ...
Machine learning assisted dual-modal SERS detection for circulating tumor cells.
Biosensors & bioelectronics
Oct 30, 2024
Detecting circulating tumor cells (CTCs) from blood has become a promising approach for cancer diagnosis. Surface-enhanced Raman Spectroscopy (SERS) has rapidly developed as a significant detection technology for CTCs, offering high sensitivity and s...
Rapid and accurate bacteria identification through deep-learning-based two-dimensional Raman spectroscopy.
Analytica chimica acta
Oct 29, 2024
Surface-enhanced Raman spectroscopy (SERS) offers a distinctive vibrational fingerprint of the molecules and has led to widespread applications in medical diagnosis, biochemistry, and virology. With the rapid development of artificial intelligence (A...
Application of Raman spectroscopy and machine learning for identification and characterization.
Applied and environmental microbiology
Oct 29, 2024
UNLABELLED: an emerging fungal pathogen characterized by multidrug resistance and high-mortality nosocomial infections, poses a serious global health threat. However, the precise and rapid identification and characterization of remain a challenge. ...
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