AIMC Topic: Spectrophotometry, Infrared

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Machine learning-assisted mid-infrared spectrochemical fibrillar collagen imaging in clinical tissues.

Journal of biomedical optics Sep 27, 2024
SIGNIFICANCE: Label-free multimodal imaging methods that can provide complementary structural and chemical information from the same sample are critical for comprehensive tissue analyses. These methods are specifically needed to study the complex tum...
Pancreatic Neoplasms Hyperspectral Imaging Pancreas Spectrophotometry, Infrared Fibrillar Collagens Second Harmonic Generation Microscopy Machine Learning Image Processing, Computer-Assisted Multimodal Imaging Humans
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A nondestructive technique for the sex identification of third instar Cochliomyia macellaria larvae.

Journal of forensic sciences Sep 2, 2024
Forensic entomology plays an important role in medicolegal investigations by using insects, primarily flies, to estimate the time of colonization. This estimation relies on the development of the flies found at the (death) scene and can be affected (...
Female Animals Male Humans Machine Learning Spectrophotometry, Infrared Forensic Entomology Calliphoridae Larva Least-Squares Analysis Discriminant Analysis
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Decoding myasthenia gravis: advanced diagnosis with infrared spectroscopy and machine learning.

Scientific reports Aug 20, 2024
Myasthenia Gravis (MG) is a rare neurological disease. Although there are intensive efforts, the underlying mechanism of MG still has not been fully elucidated, and early diagnosis is still a question mark. Diagnostic paraclinical tests are also time...
Myasthenia Gravis Principal Component Analysis Spectrophotometry, Infrared Adult Male Middle Aged Support Vector Machine Spectroscopy, Fourier Transform Infrared Biomarkers Female Aged Humans Machine Learning
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Neural Network Based Aliasing Spectral Decoupling Algorithm for Precise Mid-Infrared Multicomponent Gases Sensing.

ACS sensors Aug 16, 2024
Owing to the overlapping and cross-interference of absorption lines in multicomponent gases, the simultaneous measurement of such gases via laser absorption spectroscopy frequently necessitates the use of supplementary pressure sensors to distinguish...
Neural Networks, Computer Algorithms Steam Gases Spectrophotometry, Infrared Water Limit of Detection Methane Ethane
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QCL Infrared Spectroscopy Combined with Machine Learning as a Useful Tool for Classifying Acetaminophen Tablets by Brand.

Molecules (Basel, Switzerland) Jul 28, 2024
The development of new methods of identification of active pharmaceutical ingredients (API) is a subject of paramount importance for research centers, the pharmaceutical industry, and law enforcement agencies. Here, a system for identifying and class...
Algorithms Support Vector Machine Principal Component Analysis Tablets Acetaminophen Spectrophotometry, Infrared Neural Networks, Computer Machine Learning
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Optimization of mid-infrared noninvasive blood-glucose prediction model by support vector regression coupled with different spectral features.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 26, 2024
Mid-infrared spectral analysis of glucose in subcutaneous interstitial fluid has been widely employed as a noninvasive alternative to the standard blood-glucose detection requiring blood-sampling via skin-puncturing, but improving the confidence leve...
Spectroscopy, Fourier Transform Infrared Regression Analysis Spectrophotometry, Infrared Blood Glucose Support Vector Machine Humans Male
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Unraveling dynamic protein structures by two-dimensional infrared spectra with a pretrained machine learning model.

Proceedings of the National Academy of Sciences of the United States of America Jun 25, 2024
Dynamic protein structures are crucial for deciphering their diverse biological functions. Two-dimensional infrared (2DIR) spectroscopy stands as an ideal tool for tracing rapid conformational evolutions in proteins. However, linking spectral charact...
Machine Learning Proteins Protein Conformation Spectrophotometry, Infrared Protein Structure, Secondary Protein Folding
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The use of vibrational spectroscopy and supervised machine learning for chemical identification of plastics ingested by seabirds.

Journal of hazardous materials Jun 21, 2024
Plastic pollution is now ubiquitous in the environment and represents a growing threat to wildlife, who can mistake plastic for food and ingest it. Tackling this problem requires reliable, consistent methods for monitoring plastic pollution ingested ...
Machine Learning Animals Birds Spectrophotometry, Infrared Environmental Monitoring Spectrum Analysis, Raman Plastics
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Graphormer-IR: Graph Transformers Predict Experimental IR Spectra Using Highly Specialized Attention.

Journal of chemical information and modeling Jun 6, 2024
Infrared (IR) spectroscopy is an important analytical tool in various chemical and forensic domains and a great deal of effort has gone into developing methods for predicting experimental spectra. A key challenge in this regard is generating highly ...
Spectrophotometry, Infrared Neural Networks, Computer
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Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning.

Scientific reports May 27, 2024
Field-derived metrics are critical for effective control of malaria, particularly in sub-Saharan Africa where the disease kills over half a million people yearly. One key metric is entomological inoculation rate, a direct measure of transmission inte...
Anopheles Sporozoites Plasmodium falciparum Malaria, Falciparum Tanzania Mosquito Vectors Spectrophotometry, Infrared Female Animals Spectroscopy, Fourier Transform Infrared Humans Machine Learning
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