AIMC Topic: Terahertz Spectroscopy

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Deep-Learning Terahertz Single-Cell Metabolic Viability Study.

ACS nano
Cell viability assessment is critical, yet existing assessments are not accurate enough. We report a cell viability evaluation method based on the metabolic ability of a single cell. Without culture medium, we measured the absorption of cells to tera...

TSMC-Net: Deep-Learning Multigas Classification Using THz Absorption Spectra.

ACS sensors
The identification of gas mixture speciation from a complex multicomponent absorption spectrum is a problem in gas sensing that can be addressed using machine-learning approaches. Here, we report on a deep convolutional neural network for multigas cl...

Terahertz signal analysis and substance identification via Zernike moments.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Terahertz (THz) spectra contain chemical information, along with noise and variable backgrounds. Measurement environmental changes and spectral signal differences caused by changes in the sample state can degrade the accuracy of the calibration model...

Identification of coumarin-based food additives using terahertz spectroscopy combined with manifold learning and improved support vector machine.

Journal of food science
The purpose of this paper is to use terahertz (THz) spectroscopy combined with manifold learning and improved support vector machine (SVM) model to identify the coumarin-based food additives. The 216 THz absorbance spectra (144 for calibration set an...

Deep learning aided quantitative analysis of anti-tuberculosis fixed-dose combinatorial formulation by terahertz spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Anti-tuberculosis fixed-dose combinatorial formulation (FDCs) is an effective drug for the treatment of tuberculosis. As a compound medicine, its efficacy is based on the comprehensive action of multiple main ingredients. If the content of an active ...

Quantitative analysis of bisphenol analogue mixtures by terahertz spectroscopy using machine learning method.

Food chemistry
Quantitative analysis of complex mixtures is a great challenge for spectral analysis. Bisphenol A (BpA) is a chemical predominantly used in manufacturing and is being replaced by other analogs due to its potential toxicity. Reliability methods is hen...

Quantitative analysis of wheat maltose by combined terahertz spectroscopy and imaging based on Boosting ensemble learning.

Food chemistry
To improve the prediction accuracy of existing data modeling that is based on either spectral data or image data alone, we herein propose a method for the quantitative analysis of wheat maltose contents based on the fusion of terahertz spectroscopy a...

Early detection of germinated wheat grains using terahertz image and chemometrics.

Scientific reports
In this paper, we propose a feasible tool that uses a terahertz (THz) imaging system for identifying wheat grains at different stages of germination. The THz spectra of the main changed components of wheat grains, maltose and starch, which were obtai...