AIMC Topic: Spectrum Analysis

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Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks.

Medical image analysis
Surgical guidance and decision making could be improved with accurate and real-time measurement of intra-operative data including shape and spectral information of the tissue surface. In this work, a dual-modality endoscopic system has been proposed ...

Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network.

Biomedical engineering online
BACKGROUND: With spectral methods, noninvasive determination of blood hyperviscosity in vivo is very potential and meaningful in clinical diagnosis. In this study, 67 male subjects (41 health, and 26 hyperviscosity according to blood sample analysis ...

Microwave-assisted digestion using diluted HNO and HO for macro and microelements determination in guarana samples by ICP OES.

Food chemistry
A microwave-assisted digestion procedure using diluted HNO and HO was developed for multi-element determination in guarana samples by ICP OES. Optimization step was performed employing a mixture design with pseudocomponents using HNO, HO and HO. The ...

Synthesis and investigation of the antibacterial activity and action mechanism of 1,3,4-oxadiazole thioether derivatives.

Pesticide biochemistry and physiology
Various 1,3,4-oxadiazole thioether derivatives containing 2-chloro-5-methylene pyridine, 2-chloro-5-methylene thiazole, 3,4-dimethoxy-2-methylene pyridine, and N,N-dimethyl-2-ethylamino moieties were designed, synthesized, and assessed for their anti...

A new cyclic lipopeptide isolated from Bacillus amyloliquefaciens HAB-2 and safety evaluation.

Pesticide biochemistry and physiology
Bacillus is the most widely studied biocontrol agent and has been extensively used in the development of biopesticides and fungicides. In this study, a new cyclic lipopeptide was isolated from Bacillus amyloliquefaciens HAB-2 by column chromatography...

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.

Scientific reports
We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves wit...

Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks.

Medical image analysis
This paper addresses the problem of classifying materials from microspectroscopy at a pixel level. The challenges lie in identifying discriminatory spectral features and obtaining accurate and interpretable models relating spectra and class labels. W...

Spectrophotometric determination of synthetic colorants using PSO-GA-ANN.

Food chemistry
Four common food colorants, containing tartrazine, sunset yellow, ponceau 4R and methyl orange, are simultaneously quantified without prior chemical separation. In this study, an effective artificial neural network (ANN) method is designed for modeli...

Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.

Scientific reports
Leaf nitrogen content (LNC) is a significant factor which can be utilized to monitor the status of paddy rice and it requires a reliable approach for fast and precise quantification. This investigation aims to quantitatively analyze the correlation b...

From binary presumptive assays to probabilistic assessments: Differentiation of shooters from non-shooters using IMS, OGSR, neural networks, and likelihood ratios.

Forensic science international
Screening tests are used in forensic science for field testing and directing laboratory analysis of physical evidence. These tests are often binary in that the data produced is interpreted as yes/no or present/absent. The utility of screening assays ...