Results 141 to 150 of about 6,229 (197)

Protocol for intranuclear Nrf2 detection in activated mouse, human, and Jurkat T cells by spectral flow cytometry. [PDF]

STAR Protoc
Tripathi A, Dasgupta D, Ahuja M, Fisette G, Santana-Magal N, Pyaram K.   +5 more
europepmc   +1 more source

Estimating Endmember Backscattering Coefficients Within the Mixed Pixels Based on the Microwave Backscattering Contribution Decomposition Model. [PDF]

Sensors (Basel)
Song Y, Zhang Z, Zheng H, Hou X, Lei J, Gao X, Hellwich O.   +6 more
europepmc   +1 more source

Characterizing Muscle Components in Intestinal Strictures Using Spectroscopic Photoacoustic Imaging. [PDF]

J Biophotonics
Peng X, Ni L, Johnson L, Huang Y, Zhang W, Wang X, Higgins PDR, Xu G.   +7 more
europepmc   +1 more source

Capturing the full spectrum of T cell responses with spectral flow cytometry. [PDF]

Oxf Open Immunol
Olofsson A, Karlsson AC.
europepmc   +1 more source

A high-parameter spectral cytometry protocol for immune subset and functional characterization of cryopreserved human blood with 49 biomarkers. [PDF]

STAR Protoc
Wright AP, Lindaman M, Huang E, Coussens LM, Poissonnier A.   +4 more
europepmc   +1 more source

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Spectral unmixing

International Journal of Remote Sensing, 2012
Satellite imagery is formed by finite digital numbers representing a specific location of ground surface in which each matrix element is denominated as a picture element or pixel. The pixels represent the sensor measurements of spectral radiance. The radiance recorded in the satellite images is then an integrated sum of the radiances of all targets ...
Carmen Quintano, Alfonso Fernández-Manso, Yosio E. Shimabukuro, Gabriel Pereira   +3 more
openaire   +1 more source

Spatial–spectral preprocessing for spectral unmixing

International Journal of Remote Sensing, 2018
Most techniques available in the endmember extraction rely on exploiting the spectral information of the data alone.
Yang Yan, Wenshen Hua, Xun Liu, Zihao Cui, Dongmei Diao   +4 more
openaire   +1 more source

Spatially informed spectral unmixing

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
Spectral unmixing methods have traditionally relied on the plethora of information in the spectral domain to resolve subpixel components. Several new methods have utilised the spatial information contained within the hyperspectral image, however these are limited to the spatial resolution of the sensor.
Daniel L. Bongiorno, Adam J. Fairley, Stefan B. Williams   +2 more
openaire   +1 more source