Results 21 to 30 of about 132 (101)

Emerging clinical applications in oncology for non‐invasive multi‐ and hyperspectral imaging of cell and tissue autofluorescence

Journal of Biophotonics, Volume 16, Issue 9, September 2023., 2023
Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations. This technology can enable the non‐invasive, stain‐free characterisation of cells and tissues, and has shown great promise for advancing tumour diagnosis and surgical
Jared M. Campbell, Abbas Habibalahi, Shannon Handley, Adnan Agha, Saabah B. Mahbub, Ayad G. Anwer, Ewa M. Goldys   +6 more
wiley   +1 more source

Method for detecting the pollution degree of naturally contaminated insulator based on hyperspectral characteristics

High Voltage, Volume 6, Issue 6, Page 1031-1039, December 2021., 2021
Abstract Insulator pollution degree detection is of great significance for preventing a flashover. Equivalent salt deposit density, leakage current, and surface pollution layer conductivity are commonly used to describe insulator pollution degree; however, all these parameters have limitations in field application and real‐time monitoring.
Chengfeng Yin, Zhang Xiao, Yujun Guo, Chaoqun Shi, Xueqin Zhang, Guangning Wu   +5 more
wiley   +1 more source

Experimental determination of soil moisture on hyperspectral images [PDF]

Компьютерная оптика, 2018
The possibility of humidity determination based on the use of spectral distributions in the wavelength range of up to 1 µm is analyzed. We discuss the use of an imaging hyperspectrometer for precision farming.
Vladimir Podlipnov, Vyacheslav Shchedrin, Alexandr Babichev, Sergey Vasilyev, Veronika Blank   +4 more
doaj   +1 more source

Multispectral imaging and hyperspectral scanning of the first dissection of core 73002: Preliminary results

Meteoritics &Planetary Science, Volume 56, Issue 8, Page 1574-1584, August 2021., 2021
Abstract We measured the multispectral images and a hyperspectral profile during the first dissection pass of core 73002, and here, we present preliminary results. Both multispectral images and hyperspectral data show systematic darkening and reddening from bottom to top of the core, indicating an increasing maturity from the subsurface to surface ...
Lingzhi Sun, Paul G. Lucey, Abigail Flom, Chiara Ferrari‐Wong, Ryan A. Zeigler, Juliane Gross, Noah E. Petro, Charles K. Shearer, Francis M. McCubbin, The ANGSA Science Team, Edward Cloutis   +10 more
wiley   +1 more source

Spectral lenses to highlight blood vessels in the skin

Компьютерная оптика, 2022
A device for visualization of blood vessels in the human skin is presented. A diffractive optical element is used to locate blood vessels in the skin image.
M.M. Hamza, V.A. Blank, V.V. Podlipnov, L.L. Doskolovich , R.V. Skidanov, B. Fan   +5 more
doaj   +1 more source

Hyperspectral analysis of the content of the alkali-hydrolysed nitrogen in the soil of a millet field

Plant, Soil and Environment, 2023
Hyperspectral imaging technology has emerged as a prominent research area for quantitatively estimating soil nutrient content owing to its non-destructive, rapid, and convenient features.
Tingyu Zhu, Zhiqiang Wang, Zilin Zhang, Xiuhan He, Gangao Li, Zongbao Huang, Lili Guo, Zhiwei Li, Huiling Du   +8 more
doaj   +1 more source

Agricultural plant hyperspectral imaging dataset

Компьютерная оптика, 2023
Detailed automated analysis of crop images is critical to the development of smart agriculture and can significantly improve the quantity and quality of agricultural products.
A.V. Gaidel, V.V. Podlipnov, N.A. Ivliev, R.A. Paringer, P.A. Ishkin, S.V. Mashkov, R.V. Skidanov   +6 more
doaj   +1 more source

Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images

Компьютерная оптика, 2023
The paper presents a study of various approaches to the classification of soil covers based on neural network algorithms using hyperspectral remote and proximal sensing of the Earth.
N.A. Firsov, V.V. Podlipnov, N.A. Ivliev, D.D. Ryskova, A.V. Pirogov, A.A. Muzyka, A.R. Makarov, V.E. Lobanov, V.I. Platonov, A.N. Babichev, V.A. Monastyrskiy, V.I. Olgarenko, D.P. Nikolaev, R.V. Skidanov, A.V. Nikonorov, N.L. Kazanskiy, V.A. Soyfer   +16 more
doaj   +1 more source

Comparison of the Non-Invasive Monitoring of Fresh-Cut Lettuce Condition with Imaging Reflectance Hyperspectrometer and Imaging PAM-Fluorimeter

Photonics, 2021
We compared two approaches to non-invasive proximal sensing of the early changes in fresh-cut lettuce leaf quality: hyperspectral imaging and imaging of variable chlorophyll fluorescence contained in the leaves.
Boris Shurygin, Olga Chivkunova, Olga Solovchenko, Alexei Solovchenko, Alexey Dorokhov, Igor Smirnov, Maxim E. Astashev, Dmitriy Khort   +7 more
doaj   +1 more source

Establishment of a Monitoring Model for the Cotton Leaf Area Index Based on the Canopy Reflectance Spectrum

Land, 2022
Cotton is the main economic crop in China and is important owing to its use as an industrial raw material and a cash crop. This experiment was conducted in the main cotton-producing area of Xinjiang, China.
Xianglong Fan, Xin Lv, Pan Gao, Lifu Zhang, Ze Zhang, Qiang Zhang, Yiru Ma, Xiang Yi, Caixia Yin, Lulu Ma   +9 more
doaj   +1 more source