Results 71 to 80 of about 19,235 (216)

CytoBatchFlagR: A Comprehensive Framework to Objectively Assess High‐Parameter Cytometry Data for Batch Effects

Cytometry Part A, EarlyView.
ABSTRACT Rapid advancements in mass and flow cytometry technologies have allowed researchers to generate and analyze high‐dimensional single cell datasets, often utilizing upwards of 40 protein markers. Such high‐parameter cytometry is increasingly used in longitudinal immunological studies, but technical variations across experimental batch runs can ...
Shruti Eswar, Zachary T. Koenig, Amanda R. Tursi, José Cobeña‐Reyes, Tamara Tilburgs, Sandra Andorf   +5 more
wiley   +1 more source

A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery

Remote Sensing, 2019
Limited to the low spatial resolution of the hyperspectral imaging sensor, mixed pixels are inevitable in hyperspectral images. Therefore, to obtain the endmembers and corresponding fractions in mixed pixels, hyperspectral unmixing becomes a hot spot in ...
Yang Shao, Jinhui Lan
doaj   +1 more source

System-level optimization in spectroscopic photoacoustic imaging of prostate cancer

Photoacoustics, 2022
This study presents a system-level optimization of spectroscopic photoacoustic (PA) imaging for prostate cancer (PCa) detection in three folds. First, we present a spectral unmixing model to segregate spectral system error (SSE). We constructed two noise
Yixuan Wu, Jeeun Kang, Wojciech G. Lesniak, Ala Lisok, Haichong K. Zhang, Russell H. Taylor, Martin G. Pomper, Emad M. Boctor   +7 more
doaj   +1 more source

Optimizing Cell Sorting Performance: A Comparative Study Utilizing Spectral Flow Cytometry

Cytometry Part A, EarlyView.
Strategy for the Evaluation of Multi‐way Sort Performance. ABSTRACT The introduction of full spectral technology in flow cytometry has facilitated access to an increasing number of markers to define cell subsets with higher precision. Cell sorting has a unique advantage to combine high throughput single cell analysis and recovery of rare live single ...
Jarina Pena DaMata, Randall Johnson, Iyadh Douagi   +2 more
wiley   +1 more source

Graph-Based Adaptive Network With Spatial-Spectral Features for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing aims to extract basic material (endmember) spectra and estimate their corresponding fractions (abundances) from observed pixels in hyperspectral images (HSIs).
Hua Dong, Xiaohua Zhang, Jinhua Zhang, Hongyun Meng, Licheng Jiao   +4 more
doaj   +1 more source

Multispectral fingerprinting for improved in vivo cell dynamics analysis [PDF]

, 2010
Background: Tracing cell dynamics in the embryo becomes tremendously difficult when cell trajectories cross in space and time and tissue density obscure individual cell borders.
Alexander, Richard, Cooper, Cameron H. J., Kulesa, Paul M., Lansford, Rusty, McLennan, Rebecca, Smith, Miranda, Teddy, Jessica M.   +6 more
core   +4 more sources

Beyond PBMCs: Polymer‐Based Cell Mimics for Robust TBNK Immunophenotyping Assay Validation

Cytometry Part A, EarlyView.
ABSTRACT Flow cytometry‐based TBNK immunophenotyping is widely used to assess immune status in research, clinical diagnostics, and cell therapy development. Biological control materials such as PBMCs often serve as physiologically relevant controls, but suffer from considerable variability due to donor differences, limited stability, and fluctuations ...
Swetha Pratyusha Gunturu, Subhanip Biswas, Armando Martinez, Brian Kerfs, Kanwal Palla, Louisa D'Lima   +5 more
wiley   +1 more source

Joint Local Block Grouping with Noise-Adjusted Principal Component Analysis for Hyperspectral Remote-Sensing Imagery Sparse Unmixing

Remote Sensing, 2019
Spatial regularized sparse unmixing has been proved as an effective spectral unmixing technique, combining spatial information and standard spectral signatures known in advance into the traditional spectral unmixing model in the form of sparse regression.
Ruyi Feng, Lizhe Wang, Yanfei Zhong
doaj   +1 more source

Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation

, 2016
The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core   +1 more source

Nanocubes and Cuboctahedra: Entropic Stabilization Versus Thermal Segregation in Rock Salt‐ and Spinel‐Type Multinary Oxides from Spray‐Flame Synthesis

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Spray‐flame synthesis enables highly flexible and scalable production of multinary and high‐entropy oxide nanoparticles due to high synthesis temperatures with subsequent quenching. Temperature‐dependent in situ diffraction of as‐synthesized materials clearly reveals entropy stabilization in rock salt lattices, while spinels—featuring tetrahedral and ...
Mohammed‐Ali Sheikh, Steven Angel, Sabrina Schleich, Leon Müller, Jan Ternieden, Hatem M. A. Amin, Christof Schulz, Hartmut Wiggers   +7 more
wiley   +1 more source