Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …
recent increase in interest in the role of nondestructive and rapid detection technologies in …
Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images
Y Liu, X Liu, Y Qi - International Journal of Intelligent Systems, 2024 - Wiley Online Library
Breast cancer has become the most common cancer in the world, and biopsy is the most
reliable and widely used technique for detecting breast cancer. However, observation of …
reliable and widely used technique for detecting breast cancer. However, observation of …
Super-resolved 3D mapping of molecular orientation using vibrational techniques
When a sample has an anisotropic structure, it is possible to obtain additional information
controlling the polarization of incident light. With their straightforward instrumentation …
controlling the polarization of incident light. With their straightforward instrumentation …
Macromolecular orientation in biological tissues using a four-polarization method in FT-IR imaging
Fourier transform infrared spectroscopy has emerged as a powerful tool for tissue specimen
investigation. Its nondestructive and label-free character enables direct determination of …
investigation. Its nondestructive and label-free character enables direct determination of …
Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks
Mid-infrared spectroscopy (MIR) using photon up-conversion provides advantages over
near-infrared spectroscopy (NIR) for plastic waste recycling, including comparable data …
near-infrared spectroscopy (NIR) for plastic waste recycling, including comparable data …
Discrimination of grass pollen of different species by FTIR spectroscopy of individual pollen grains
S Diehn, B Zimmermann, V Tafintseva… - Analytical and …, 2020 - Springer
Fourier-transform infrared (FTIR) spectroscopy enables the chemical characterization and
identification of pollen samples, leading to a wide range of applications, such as …
identification of pollen samples, leading to a wide range of applications, such as …
Comparison between high definition FT‐IR, Raman and AFM‐IR for subcellular chemical imaging of cholesteryl esters in prostate cancer cells
M Roman, TP Wrobel, C Paluszkiewicz… - Journal of …, 2020 - Wiley Online Library
The family of vibrational spectroscopic imaging techniques grows every few years and there
is a need to compare and contrast new modalities with the better understood ones …
is a need to compare and contrast new modalities with the better understood ones …
A comprehensive comparison of multi-dimensional image denoising methods
Filtering multi-dimensional images such as color images, color videos, multispectral images
and magnetic resonance images is challenging in terms of both effectiveness and efficiency …
and magnetic resonance images is challenging in terms of both effectiveness and efficiency …
[HTML][HTML] uFTIR: An R package to process hyperspectral images of environmental samples captured with μFTIR microscopes
F Corradini, N Beriot, E Huerta-Lwanga, V Geissen - SoftwareX, 2021 - Elsevier
Abstract uFTIR is an R package that implements an automatic approach to analyze μ FTIR
hyperspectral images with a strong focus on microplastic recognition in environmental …
hyperspectral images with a strong focus on microplastic recognition in environmental …
Enhancing spatial resolution in Fourier transform infrared spectral image via machine learning algorithms
M Lim, KH Park, JS Hwang, M Choi, HY Shin… - Scientific Reports, 2023 - nature.com
Owing to the intrinsic signal noise in the characterization of chemical structures through
Fourier transform infrared (FT-IR) spectroscopy, the determination of the signal-to-noise ratio …
Fourier transform infrared (FT-IR) spectroscopy, the determination of the signal-to-noise ratio …