AIMC Topic: Spectrophotometry, Infrared
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Analysis and comparison of machine learning methods for species identification utilizing ATR-FTIR spectroscopy.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 2, 2023
Accurate identification of insect species holds paramount significance in diverse fields as it facilitates a comprehensive understanding of their ecological habits, distribution range, and impact on both the environment and humans. While morphologica...
Infrared Spectral Analysis for Prediction of Functional Groups Based on Feature-Aggregated Deep Learning.
Journal of chemical information and modeling
Aug 2, 2023
Infrared (IR) spectroscopy is a powerful and versatile tool for analyzing functional groups in organic compounds. A complex and time-consuming interpretation of massive unknown spectra usually requires knowledge of chemistry and spectroscopy. This pa...
Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets.
Analytical chemistry
Jul 17, 2023
Infrared (IR) spectroscopic imaging is potentially useful for digital histopathology as it provides spatially resolved molecular absorption spectra, which can subsequently yield useful information by powerful artificial intelligence methods. A typica...
Spectrochemical analysis of blood combined with chemometric techniques for detecting osteosarcopenia.
Scientific reports
Jun 15, 2023
Among several complications related to physiotherapy, osteosarcopenia is one of the most frequent in elderly patients. This condition is limiting and quite harmful to the patient's health by disabling several basic musculoskeletal activities. Current...
Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer.
The Analyst
Jun 12, 2023
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopathologic identification of ovarian cancer involves tissue staining followed by morphological pattern re...
Digital Histopathology by Infrared Spectroscopic Imaging.
Annual review of analytical chemistry (Palo Alto, Calif.)
Apr 17, 2023
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra, enabling a comprehensive measurement of the chemical makeup and heterogeneity of biological tissues. Combining this novel contrast mechanism in microscopy w...
Rapid quantification of royal jelly quality by mid-infrared spectroscopy coupled with backpropagation neural network.
Food chemistry
Mar 23, 2023
Royal jelly is rich in nutrients but its quality is greatly affected by storage conditions. To determine the quality of royal jelly accurately and quickly, a qualitative discrimination model was established based on the fusion of conventional paramet...
Generative Adversarial Neural Networks for Denoising Coherent Multidimensional Spectra.
The journal of physical chemistry. A
Jun 6, 2022
Ultrafast spectroscopy often involves measuring weak signals and long data acquisition times. Spectra are typically collected as a "pump-probe" spectrum by measuring differences in intensity across laser shots. Shot-to-shot intensity fluctuations are...
Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality.
Critical reviews in food science and nutrition
Apr 20, 2022
Cereals provide humans with essential nutrients, and its quality assessment has attracted widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as powerful nondestructive testing technologies, are widely used in the ...
Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning.
Applied spectroscopy
Mar 25, 2022
Tumor grade assessment is critical to the treatment of cancers. A pathologist typically evaluates grade by examining morphologic organization in tissue using hematoxylin and eosin (H&E) stained tissue sections. Fourier transform infrared spectroscopi...
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