Results 61 to 70 of about 6,229 (197)

Neural Network‐Based Detection of Adulterants in Opioid Samples Using IR Absorption Spectroscopy

Drug Testing and Analysis, EarlyView.
We construct a neural network for the classification of bromazolam and fluorofentanyl in illicit opioid samples. The model outperforms a random forest classifier and shows elevated performance for low concentration samples. ABSTRACT Community‐based drug checking services are challenged in their ability to reliably detect low concentration adulterants ...
Joshua Jai, Lea Gozdzialski, Bruce Wallace, Chris G. Gill, Dennis Hore   +4 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The mixed pixel problem, arising from the complex vegetation types of peatlands, poses a significant challenge for remote sensing-based peatland mapping.
Yulin Xu, Xiaodong Na
doaj   +1 more source

Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures

Limnology and Oceanography: Methods, EarlyView.
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall, Adam C. Mumford, Aaron M. Goldfain, David W. Allen, E. Terrence Slonecker, Alisa Shtabnoy, Carl J. Legleiter, Sarah A. Spaulding   +7 more
wiley   +1 more source

DISTRIBUTED UNMIXING OF HYPERSPECTRAL DATAWITH SPARSITY CONSTRAINT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, accurately. For estimation of signature and fractional abundance matrices in
S. Khoshsokhan, R. Rajabi, H. Zayyani
doaj   +1 more source

Nonlinear Spectral Unmixing Using Bézier Surfaces

IEEE Transactions on Geoscience and Remote Sensing
Abstract: Accurate estimation of the fractional abundances of intimately mixed materials from spectral reflectances is generally hard due to a highly nonlinear relationship between the measured spectrum and the composition of the material. Changes in the acquisition and the illumination conditions cause variability in the spectral reflectance, further ...
Bikram Koirala, Behnood Rasti, Zakaria Bnoulkacem, Paul Scheunders   +3 more
openaire   +2 more sources

Activatable smart contrast agents for photoacoustic imaging

Smart Molecules, EarlyView.
This review highlights recent advances in smart activatable photoacoustic imaging (PAI) contrast agents, which dynamically modulate their optical properties in response to external stimuli or microenvironmental cues. It discusses their molecular design, activation mechanisms, biomedical applications, and future prospects for clinically tailored use ...
Donghyeon Oh, Jihye Lee, Suyoung Park, Juyoung Yoon, Won Jong Kim, Chulhong Kim   +5 more
wiley   +1 more source

Blind unmixing of spectrally resolved lifetime images

Journal of Biomedical Optics, 2013
A method, is presented for blind unmixing spectrally resolved fluorescence lifetime images. The method is based on the combined analysis of spectral and lifetime phasors and allows unmixing of up to three components without any prior knowledge. Fractional intensities, spectra and decay curves of the individual components can be extracted with this new ...
Fereidouni, Farzad, Blab, Gerhard A., Gerritsen, Hans C.   +2 more
openaire   +3 more sources

Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing

Small Methods, EarlyView.
Raman microspectroscopy is demonstrated as an in situ, phase‐specific probe for femtosecond laser fabrication in diamond. Multiple spectral indicators are systematically evaluated and correlated with electrical performance, establishing a robust methodology for process monitoring.
Xingrui Cheng, Eugenio Picheo, Zhixin Chen, Martin J. Booth, Patrick S. Salter, Álvaro Fernández‐Galiana   +5 more
wiley   +1 more source

SMILE: Extraction‐free submicron‐resolution mapping of lipid chain length and unsaturation by stimulated Raman imaging

VIEW, EarlyView.
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou, Xiangjie Huang, Xingxin Liu, Ling Zhang, Jie Huang, Jing Zhao, Yongqing Zhang, Jin Zhang, Yanqing Gong, Delong Zhang, Hyeon Jeong Lee   +10 more
wiley   +1 more source