Results 71 to 80 of about 871,644 (244)

Super‐Multiplexed Label‐Free Raman Imaging Uncovers Novel Testicular Metabolic Couplings for Residual Body and Spermatogonial Differentiation

open access: yesAdvanced Science, EarlyView.
Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li   +23 more
wiley   +1 more source

Context dependent spectral unmixing. [PDF]

open access: yes, 2014
A hyperspectral unmixing algorithm that finds multiple sets of endmembers is proposed. The algorithm, called Context Dependent Spectral Unmixing (CDSU), is a local approach that adapts the unmixing to different regions of the spectral space.
Jenzri, Hamdi
core   +1 more source

Hyperspectral Image Compression Optimized for Spectral Unmixing [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2016
In this paper, we present a new lossy compression method for hyperspectral images that aims to optimally compress in both spatial and spectral domains and simultaneously minimizes the effect of the compression on linear spectral unmixing performance. To achieve this, a nonnegative Tucker decomposition is applied.
Azam Karami, Rob Heylen, Paul Scheunders
openaire   +2 more sources

Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing

open access: yes, 2020
In many statistical hyperspectral unmixing approaches, the unmixing task is essentially an optimization problem given a defined linear or nonlinear spectral mixture model. However, most of the model inference algorithms require a time-consuming iterative
Qian, Qipeng   +3 more
core   +1 more source

Noise Effect on Linear Spectral Unmixing

open access: yesAnnals of GIS, 1999
Abstract Using hyperspectral reflectance data collected from six types of surface covers, we synthesized linear mixtures and used them to test the sensitivity of two linear unmixing algorithms to simulated additive noise. We found both algorithms were highly sensitive to noise. This may considerably limit their use in remote sensing.
Peng Gong, A. Zhang
openaire   +1 more source

Gαi1/3 Are Essential for BMP2‐Induced Osteogenesis by Bridging BMP Receptors to the Gab1 Signaling Complex

open access: yesAdvanced Science, EarlyView.
The Gαi1/3 protein is a crucial connecting protein closely related to the signal transduction process of bone formation‐related cytokines such as BMP2. Gαi1/3 mediates downstream signaling pathways such as Smads and MAPK by binding to adaptor proteins like Gab1, thereby promoting the osteogenic effect of BMSCs.
Huajian Shan   +10 more
wiley   +1 more source

Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm. [PDF]

open access: yes, 2010
This paper studies a semi-supervised Bayesian unmixing algorithm for hyperspectral images. This algorithm is based on the normal compositional model recently introduced by Eismann and Stein.
Eches, Olivier   +2 more
core   +1 more source

ASSESSING AND COMPARING THE PERFORMANCE OF ENDMEMBER EXTRACTION METHODS IN MULTIPLE CHANGE DETECTION USING HYPERSPECTRAL DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Endmember extraction is a process to identify the hidden pure source signals from the mixture. Endmember finding has become increasingly important in hyperspectral data exploitation because endmembers can be used to specify unknown particular spectral ...
H. Jafarzadeh, M. Hasanlou
doaj   +1 more source

UNMIX-ME: spectral and lifetime fluorescence unmixing via deep learning

open access: yesBiomedical Optics Express, 2020
Hyperspectral fluorescence lifetime imaging allows for the simultaneous acquisition of spectrally resolved temporal fluorescence emission decays. In turn, the acquired rich multidimensional data set enables simultaneous imaging of multiple fluorescent species for a comprehensive molecular assessment of biotissues.
Jason T. Smith   +2 more
openaire   +2 more sources

Intranasal Delivery of Gallium–Quercetin Nanoparticles for Multi‐Target Ferroptosis Inhibition in Parkinson's Disease

open access: yesAdvanced Science, EarlyView.
Leveraging the chemical similarity between Ga3+ and Fe3+ as well as the antioxidant properties of quercetin, gallium–quercetin nanoparticles (GQNPs) were prepared to integrate iron homeostasis regulation, oxidative stress suppression, and mitochondrial protection for multi‐target ferroptosis inhibition in Parkinson's Disease.
Keyang Xu   +12 more
wiley   +1 more source

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