Results 41 to 50 of about 930,547 (198)

Spectral unmixing: analysis of performance in the olfactory bulb in vivo. [PDF]

PLoS ONE, 2009
BACKGROUND: The generation of transgenic mice expressing combinations of fluorescent proteins has greatly aided the reporting of activity and identification of specific neuronal populations. Methods capable of separating multiple overlapping fluorescence
Mathieu Ducros, Laurent Moreaux, Jonathan Bradley, Pascale Tiret, Oliver Griesbeck, Serge Charpak   +5 more
doaj   +1 more source

Spectral-Spatial Constrained Nonnegative Matrix Factorization for Spectral Mixture Analysis of Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral spectral mixture analysis (SMA), which intends to decompose mixed pixels into a collection of endmembers weighted by their corresponding fraction abundances, has been successfully used to tackle mixed-pixel problem in hyperspectral remote ...
Ge Zhang, Shaohui Mei, Yan Feng, Qian Du
doaj   +1 more source

Serial Molecular‐Microstructural Multimodal Intravascular Imaging of Atherosclerotic Plaques in Mice

Advanced Science, EarlyView.
A novel longitudinal molecular and microstructural intravascular imaging approach is developed to study murine atherosclerosis. The technique combines a unique surgical model with a miniaturized multimodal device to detect macrophage activity and lipid simultaneously.
Jiawen Li, Joanne T. M. Tan, Lei Xiang, Jiandi Liu, Ayla Hoogendoorn, Victoria A. Nankivell, Lauren Sandeman, Richard Le, Rouyan Chen, Robert A. McLaughlin, Peter J. Psaltis, Johan W. Verjans, Christina A. Bursill   +12 more
wiley   +1 more source

Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning

Remote Sensing, 2018
Spectral unmixing is a popular technique for hyperspectral data interpretation. It focuses on estimating the abundance of pure spectral signature (called as endmembers) in each observed image signature.
Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou   +6 more
doaj   +1 more source

Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection

Remote Sensing, 2021
Hyperspectral images (HSIs) often contain pixels with mixed spectra, which makes it difficult to accurately separate the background signal from the anomaly target signal.
Genping Zhao, Fei Li, Xiuwei Zhang, Kati Laakso, Jonathan Cheung-Wai Chan   +4 more
doaj   +1 more source

Spatiotemporally Controlled Sequential Chemo‐Immunotherapy Activates Pyroptosis for Robust Anti‐Tumor Immunotherapy

Advanced Science, EarlyView.
A glutathione and ultrasound dual‐responsive cerasome achieves sequential co‐delivery of gemcitabine and BMS1166 in tumors. Chemotherapy priming followed by on‐demand PD‐L1 blockade synergistically amplifies anti‐tumor immunity, inhibiting primary tumor growth, distant metastasis and inducing durable immune memory.
Suhui Sun, Ruiqi Wu, Qingshuang Tang, Yunli Xu, Wanrui Shi, Mengxin Wang, Haonan Wang, Yan Luo, Cheng Ma, Xiaolong Liang   +9 more
wiley   +1 more source

Hyperspectral Image Resolution Enhancement Based on Spectral Unmixing and Information Fusion [PDF]

, 2011
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels.
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core  

Large Oncosomes Induce Pro‐Metastatic Stromal‐Myeloid Reprogramming

Advanced Science, EarlyView.
Large oncosomes systemically reprogram bone marrow mesenchymal stem cells through innate nucleic acid sensing, driving inflammatory and immunosuppressive remodeling that supports a metastasis‐permissive bone marrow environment, revealing a novel tumor‐host communication axis in cancer. ABSTRACT Bone metastasis can be facilitated by systemic remodeling,
Taylon Felipe Silva, Virginia Marcia Concato‐Lopes, Fatima Bedier, Lauren Newman, Diana Kitka, Jamelle Brown, Blandine Victor, Minhyung Kim, Tatyana Vagner, Catherine Grasso, Dmitriy Sheyn, Sungyong You, Michael R. Freeman, Fayyaz S. Sutterwala, Helen S. Goodridge, Caroline Jefferies, Paola de Candia, Jlenia Guarnerio, Dolores Di Vizio   +18 more
wiley   +1 more source

A New Fast Sparse Unmixing Algorithm Based on Adaptive Spectral Library Pruning and Nesterov Optimization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, hyperspectral sparse unmixing (HSU) has garnered extensive research and attention due to its unique characteristic of not requiring the estimation of endmembers and their number.
Kewen Qu, Fangzhou Luo, Huiyang Wang, Wenxing Bao   +3 more
doaj   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source