Spectral imaging with deep learning

L Huang, R Luo, X Liu, X Hao - Light: Science & Applications, 2022 - nature.com
The goal of spectral imaging is to capture the spectral signature of a target. Traditional
scanning method for spectral imaging suffers from large system volume and low image …

Modern trends in hyperspectral image analysis: A review

MJ Khan, HS Khan, A Yousaf, K Khurshid… - Ieee …, 2018 - ieeexplore.ieee.org
Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …

Real-time fluorescence screening platform for meat freshness

H Ye, S Koo, B Zhu, Y Ke, R Sheng, T Duan… - Analytical …, 2022 - ACS Publications
Meat's freshness is closely related to food safety and human health and has received
increasing attention nowadays. To on-site visually screen meat freshness in a fast and non …

Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis

NK Mahanti, R Pandiselvam, A Kothakota… - Trends in Food Science …, 2022 - Elsevier
Background Fruits are vulnerable to mechanical damages and physiological disorders
caused by the static and dynamic forces acting on them during transportation and abiotic …

Separation, characterization and identification of microplastics and nanoplastics in the environment

W Fu, J Min, W Jiang, Y Li, W Zhang - Science of the total environment, 2020 - Elsevier
Microplastics (MPs) have globally been detected in aquatic and marine environments, which
has raised scientific interests and public health concerns during the past decade. MPs are …

Mechanisms and applications of terahertz metamaterial sensing: a review

W Xu, L Xie, Y Ying - Nanoscale, 2017 - pubs.rsc.org
Terahertz (THz) technology has attracted great worldwide interest and novel high-intensity
THz sources and plasmonics are two of the most active fields of recent research. Being …

Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges

G Jaiswal, R Rani, H Mangotra, A Sharma - Computer Science Review, 2023 - Elsevier
Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …

Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants

A Soni, Y Dixit, MM Reis… - … Reviews in Food Science …, 2022 - Wiley Online Library
Hyperspectral imaging (HSI) is a robust and nondestructive method that can detect foreign
particles such as microbial, chemical, and physical contamination in food. This review …

Medical hyperspectral imaging: a review

G Lu, B Fei - Journal of biomedical optics, 2014 - spiedigitallibrary.org
Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications,
especially in disease diagnosis and image-guided surgery. HSI acquires a three …

Classification of arrhythmia by using deep learning with 2-D ECG spectral image representation

A Ullah, SM Anwar, M Bilal, RM Mehmood - Remote Sensing, 2020 - mdpi.com
The electrocardiogram (ECG) is one of the most extensively employed signals used in the
diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture …