Results 41 to 50 of about 9,228 (164)

Bioanalytical TERS and Advanced Data Processing Methods

open access: yesJournal of Raman Spectroscopy, EarlyView.
Tip‐enhanced Raman spectroscopy delivers label‐free, subnanometer vibrational imaging of biological systems. Recent advances in instrumentation, data analysis, and ambient/liquid operation enable surface‐selective mapping of molecular heterogeneity in proteins, nucleic acids, membranes, and viruses, positioning TERS as a powerful platform for nanoscale
Sarika Joshi   +6 more
wiley   +1 more source

Sub-Nyquist Sampling: Bridging Theory and Practice [PDF]

open access: yes, 2011
Sampling theory encompasses all aspects related to the conversion of continuous-time signals to discrete streams of numbers. The famous Shannon-Nyquist theorem has become a landmark in the development of digital signal processing. In modern applications,
Eldar, Yonina C., Mishali, Moshe
core   +1 more source

Reconstruction of time-dependent coefficients: a check of approximation schemes for non-Markovian convolutionless dissipative generators

open access: yes, 2010
We propose a procedure to fully reconstruct the time-dependent coefficients of convolutionless non-Markovian dissipative generators via a finite number of experimental measurements.
Antonella De Pasquale   +6 more
core   +1 more source

Highly Versatile Real‐Time Optical Noise Filtering Through Temporal Cloaking

open access: yesLaser &Photonics Reviews, EarlyView.
Conventional bandpass filtering strategies may be insufficient for recovering optical waveforms under extremely noisy conditions. We demonstrate a temporal‐cloaking denoising strategy enabled by the temporal Talbot effect, which concentrates the coherent signal of interest into short temporal slots while broadband noise remains temporally spread.
Majid Goodarzi   +5 more
wiley   +1 more source

Compressive Fourier Transform Spectroscopy

open access: yes, 2010
We describe an approach based on compressive-sampling which allows for a considerable reduction in the acquisition time in Fourier-transform spectroscopy.
Katz, Ori   +2 more
core   +1 more source

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah   +8 more
wiley   +1 more source

Application of compressive sensing techniques for advanced image processing and digital image transmission [PDF]

open access: yesBulletin of Natural Sciences Research
The field of compressive sensing (CS) has emerged as a transformative approach in the acquisition and processing of high-dimensional data. This paper presents a comprehensive study on the application of compressive sensing techniques to advanced image ...
Stefanović Nenad   +4 more
doaj   +1 more source

Geometric approach to sampling and communication [PDF]

open access: yes, 2010
Relationships that exist between the classical, Shannon-type, and geometric-based approaches to sampling are investigated. Some aspects of coding and communication through a Gaussian channel are considered.
Eli Appleboim   +3 more
core  

Accuracy of cone‐beam computed tomography in imaging the components of the periodontal phenotype

open access: yesPeriodontology 2000, EarlyView.
Abstract The components and dimensions of the periodontal and peri‐implant phenotype have a high relevance in contemporary dental research and should be taken into consideration in the decision‐making process in the management of a variety of clinical scenarios to optimize the outcomes of therapy.
Ralf Schulze   +2 more
wiley   +1 more source

An Efficient Sparse Optimization Algorithm for Weighted $\ell _{0}$ Shearlet-Based Method for Image Deblurring

open access: yesIEEE Access, 2017
Sparsity is one of the key concepts that allows the signal recovery at a significantly lower subsample rate than required by the Nyquist-Shannon sampling theorem.
Guomin Sun, Jinsong Leng, Tingzhu Huang
doaj   +1 more source

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