AIMC Topic: Spectroscopy, Near-Infrared

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Functional Near-Infrared Spectroscopy in Schizophrenia Research: Progress, Challenges, and Future Directions.

Medical science monitor : international medical journal of experimental and clinical research
This review comprehensively examines the application and progress of functional near-infrared spectroscopy (fNIRS) in schizophrenia research. Schizophrenia is a complex neuropsychiatric disorder characterized by extensive dysfunction in the prefronta...

Deep learning-based regression of food quality attributes using near-infrared spectroscopy and hyperspectral imaging: A review.

Food chemistry
Near-infrared (NIR) spectroscopy and hyperspectral imaging (HSI) are two popular non-destructive tools for food quality and safety inspection. For food quality attributes quantification, the key is to develop regression models to link the features (s...

Enhanced bi-branch deep learning network for in vivo hyperspectral imaging recognition of organs and tissues.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Hyperspectral imaging, as an emerging medical imaging technology, offers significant potential in biomedical research due to its ability in capturing rich spectral information. An enhanced bi-branch network integrating graph convolutional network (GC...

Species discrimination and VIP-stacking quantitative models for Curcumae Rhizoma utilizing multi-modal spectra combined with machine learning algorithm.

Journal of pharmaceutical and biomedical analysis
Curcumae Rhizoma (Ezhu) is a multi-species herbal medicine with excellent medicinal value and development potential. However, challenges such as the difficulty in differentiating its varieties and the limitations of current methods for determining mi...

Near-infrared spectroscopy coupled with machine learning algorithms based on L1-norm and L21-norm to identify the geographical origins of Chinese wolfberry.

Food chemistry
The nutritional value of Chinese wolfberry varies depending on different geographical origins, even at the regional level. Therefore, a non-destructive and effective method has important implications for identifying the geographical origins of Chines...

Rapid detection of food quality indicators using ELM and near-infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
To achieve rapid, non-destructive detection of food quality indicators, this study introduces a novel method that combines near-infrared (NIR) spectroscopy with the Extreme learning machine (ELM) model. Eight spectral preprocessing methods and three ...

Deep learning-based multimodal fusion for quality prediction of chili paste using hyperspectral imaging and near-infrared spectroscopy.

Food chemistry
A deep learning-based intelligent multimodal system was developed to non-destructively evaluate chili paste quality by fusing color features extracted from hyperspectral images acquired by Hyperspectral Imaging (HSI), spectral features derived from H...

SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling.

Journal of chemical information and modeling
Spectrum large language model (SpeLL) was developed to tackle core challenges in near-infrared (NIR) spectral data modeling─the high level of expertise and substantial workload required by researchers for method selection, implementation, and optimiz...

Effects and neural mechanisms of a brain-computer interface-controlled soft robotic glove on upper limb function in patients with subacute stroke: a randomized controlled fNIRS study.

Journal of neuroengineering and rehabilitation
BACKGROUND AND PURPOSE: The brain-computer interface-based soft robotic glove (BCI-SRG) holds promise for upper limb rehabilitation in subacute stroke patients, yet its efficacy and neural mechanisms are unclear. This study aimed to investigate the t...

Hyperspectral imaging for trace cadmium prediction in lettuce leaves.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Cadmium (Cd) pollution presents a significant threat to the agricultural product control, and the development of detection technology for Cd content in lettuce has important application value. This study developed a nondestructive approach based on h...