Results 51 to 60 of about 4,188 (182)

Determination of the transection margin during colorectal resection with hyperspectral imaging (HSI)

International Journal of Colorectal Disease, 2019
This study evaluated the use of hyperspectral imaging for the determination of the resection margin during colorectal resections instead of clinical macroscopic assessment.The used hyperspectral camera is able to record light spectra from 500 to 1000 nm and provides information about physiologic parameters of the recorded tissue area intraoperatively ...
Boris Jansen-Winkeln, N. Holfert, H. Köhler, Y. Moulla, J. P. Takoh, S. M. Rabe, M. Mehdorn, M. Barberio, C. Chalopin, T. Neumuth, I. Gockel   +10 more
openaire   +4 more sources

Non‐Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection

Analytical Science Advances, Volume 7, Issue 2, December 2026.
ABSTRACT Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor‐intensive and time‐consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short‐wave ...
Rahul Joshi, Sushma Kholiya, Himanshu Pandey, Mahipal Singh, Ameeta Tiwari, Jinsu Lim, Ramaraj Sathasivam, Mohammad Akbar Faqeerzada, Sang Un Park, Byoung‐Kwan Cho   +9 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract

Nature Communications, 2019
Hyperspectral imaging (HSI) enables recording both morphological and biochemical information, but image acquisition time and geometric distortions limit its clinical applicability.
Jonghee Yoon, James Joseph, Dale J. Waterhouse, A. Siri Luthman, George S. D. Gordon, Massimiliano di Pietro, Wladyslaw Januszewicz, Rebecca C. Fitzgerald, Sarah E. Bohndiek   +8 more
doaj   +1 more source

Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case

2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
The use of hyperspectral imaging (HSI) in autonomous driving (AD), while promising, faces many challenges related to the specifics and requirements of this application domain. On the one hand, non-controlled and variable lighting conditions, the wide depth-of-field ranges, and dynamic scenes with fast-moving objects. On the other hand, the requirements
Koldo Basterretxea, Jon Gutiérrez-Zaballa, Javier Echanobe   +2 more
openaire   +2 more sources

Active Free Radical Cold Atmosphere Plasma Promotes Healing of Diabetes Foot Ulcer: Mechanism and Challenge

Diabetes/Metabolism Research and Reviews, Volume 42, Issue 6, September 2026.
ABSTRACT Background Diabetic foot ulcers (DFUs) have become an important cause of disability and death in patients with diabetes. Traditional therapies are prone to problems such as recurrence and drug resistance, which result in unsatisfactory healing effects for DFUs.
Yiran Wang, Junxiao Zhang, Jinting Yan, Wenhua Bi, Jinlong Ma   +4 more
wiley   +1 more source

A semi-supervised cycle-GAN neural network for hyperspectral image classification with minimum noise fraction

Journal of Spectral Imaging, 2022
Hyperspectral imaging (HSI) is a popular mode of remote sensing imaging that collects data beyond the visible spectrum. Many classification techniques have been developed in recent years, since classification is the most crucial task in hyperspectral ...
Tatireddy Subba Reddy, Jonnadula Harikiran   +1 more
doaj   +1 more source

O129 CLASSIFICATION OF BARRETT’S CARCINOMA SPECIMENS BY HYPERSPECTRAL IMAGING (HSI)

Diseases of the Esophagus, 2019
Abstract Aim Hyperspectral imaging (HSI) technology combines imaging with spectroscopy and can be used for the classification of malignant and non-malignant cells. Thereby HSI combined with artificial intelligent algorithms can be used to predict tumor cells in in Barrett’s carcinoma specimens.
Thieme René, Maktabi Marianne, Köhler Hannes, Chalopin Claire, Jansen-Winkeln Boris, Gockel Ines   +5 more
openaire   +1 more source

L‐Probe: New Approach for Spike Removal in Raman Hyperspectral Imaging Based on Local Prominence Peak Filtering

Journal of Chemometrics, Volume 40, Issue 8, August 2026.
ABSTRACT Raman hyperspectral imaging is an indispensable analytical technique that can provide simultaneous chemical and spatial information of a sample, enabling a higher comprehension and sampling of the analyzed material. However, a known challenge in processing large hyperspectral Raman datasets is the effective removal of spurious, high‐intensity ...
Leonardo Francisco Rafael Lemes, Victor Klassen de Oliveira, Frederico Luis Felipe Soares   +2 more
wiley   +1 more source

HyperGAN: A Hyperspectral Image Fusion Approach Based on Generative Adversarial Networks

Remote Sensing
The objective of hyperspectral pansharpening is to fuse low-resolution hyperspectral images (LR-HSI) with corresponding panchromatic (PAN) images to generate high-resolution hyperspectral images (HR-HSI).
Jing Wang, Xu Zhu, Linhai Jing, Yunwei Tang, Hui Li, Zhengqing Xiao, Haifeng Ding   +6 more
doaj   +1 more source