Results 101 to 110 of about 930,547 (198)

Scalable Arrayed T‐cell CRISPR Screening in Autologous Tumor Co‐cultures to Prioritize Combination Partners for T‐cell Engagers

Current Protocols, Volume 6, Issue 11, November 2026.
Abstract T‐cell‐engaging therapies (TCE) have shown clinical promise in hematologic malignancies, but the T‐cell‐intrinsic determinants of TCE‐mediated cytotoxicity remain incompletely defined. This is in part because functional studies in patient‐derived primary samples have been technically challenging.
Keenan Ernste, Qiao Zhang, Oscar Cazares, Kai Lu, Servando Palencia, Katerina Hatzi, Celine Eidenshenk, Zhixiang Tong, Yanwen Jiang, Hyun Yong Jin   +9 more
wiley   +1 more source

Automating spectral unmixing of AVIRIS data using convex geometry concepts [PDF]

, 1993
Spectral mixture analysis, or unmixing, has proven to be a useful tool in the semi-quantitative interpretation of AVIRIS data. Using a linear mixing model and a set of hypothesized endmember spectra, unmixing seeks to estimate the fractional abundance ...
Boardman, Joseph W.
core  

Metabolic FRET sensors in intact organs: Applying spectral unmixing to acquire reliable signals. [PDF]

Biol Open, 2023
Gándara L, Durrieu L, Wappner P.
europepmc   +1 more source

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

Cytometry Part B: Clinical Cytometry, Volume 110, Issue 6, Page 427-439, November 2026.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana, Ernest Musekwa, Erica‐Mari Nell, Zivanai Cuthbert Chapanduka   +3 more
wiley   +1 more source

Scalable Large Field‐of‐view 3D Photoacoustic Ultrasound Imaging With Digital Multiplexing for Human Extremities

Laser &Photonics Reviews, Volume 20, Issue 21, 6 November 2026.
A digitally multiplexed, large‐aperture photoacoustic and ultrasound imaging architecture is presented to overcome the fundamental limited‐view artifact inherent in conventional arrays. By significantly broadening the structural detection coverage, this scalable platform enables high‐fidelity 3D visualization of human extremities within a single ...
Sinyoung Park, Minsik Sung, Hyunhee Kim, Kijong Lee, Joongho Ahn, Eun‐Yeong Park, Sungsik Park, Hyung Ham Kim, Chulhong Kim   +8 more
wiley   +1 more source

AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging. [PDF]

Biomed Opt Express, 2023
Jiang Y, Sha H, Liu S, Qin P, Zhang Y.
europepmc   +1 more source

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani, Jyothi Rikhab Chand, Chu‐Yu Lee, Mathews Jacob, Merry Mani   +4 more
wiley   +1 more source

Spectral Unmixing with Sparsity and Structuring Constraints

, 2018
International audienceThis paper addresses the linear spectral unmixing problem, by incorporating different constraints that may be of interest in order to cope with spectral variability: sparsity (few nonzero abundances), group exclusivity (at most one ...
Ben Mhenni, Ramzi, Ramzi Ben Mhenni, Sebastien Bourguignon, Frederic Schmidt, Bourguignon, Sébastien, Jordan Ninin, Ninin, Jordan, Schmidt, Frédéric   +7 more
core   +1 more source

Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the aid of endmember spectral libraries, sparse unmixing plays a critical role in interpreting hyperspectral remote sensing data. Integrating spatial clues from hyperspectral data into sparse unmixing frameworks is pivotal for enhancing unmixing ...
Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su   +7 more
doaj   +1 more source

Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging. [PDF]

Sci Rep, 2023
Cano C, Matos C, Gholampour A, van Sambeek M, Lopata R, Wu M.   +5 more
europepmc   +1 more source