Results 161 to 170 of about 1,826,590 (358)
Noise propagation in iterative reconstruction algorithms with line searches [PDF]
J. Qi
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This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu+5 more
wiley +1 more source
Iterative algorithms for optimal signal reconstruction and parameter identification given noisy and incomplete data [PDF]
Bruce R. Musicus
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Magnetic particle spectroscopy and imaging represent promising tools, particularly when combined with manganese‐ferrite nanoparticles as versatile theranostic agents. Adjusting the manganese content allows for simultaneous multi‐color tracer detection and reactive oxygen species sensing via magnetic particle spectroscopy and imaging, creating new ...
Fabian H. L. Starsich+10 more
wiley +1 more source
Applicability of Different Iterative Reconstruction Algorithms in Orbital Computed Tomography
Objective: This study aimed to investigate the value of different iterative reconstruction algorithms for orbital computed tomography (CT). Methods: Orbital CT data from 31 patients were retrospectively collected from January to March 2024 at Beijing ...
Lei ZHU+6 more
doaj +1 more source
Cells transduce the rigidity of the environment into biochemical cues through mechanotransductive cascades that modulate cell behavior. Here, a novel role for the boron transporter NaBC1 is identified as a mechanotransducer involved in regulating cell behavior via specific crosstalk with fibronectin‐binding integrins.
Juan Gonzalez‐Valdivieso+9 more
wiley +1 more source
The influence of filtered back-projection and iterative reconstruction on partial volume correction in PET [PDF]
B. J. Krause, Rota Kops
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Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA
The proposed spatial‐temporal principal component analysis (stPCA) method analytically reduces high‐dimensional time‐series data to a single latent variable by transforming spatial information into temporal dynamics. By preserving the temporal properties of the original data, stPCA effectively identifies critical transitions and tipping points.
Pei Chen+6 more
wiley +1 more source
Iterative Image Reconstruction in Emission Computed Tomography
K. Ogawa
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Quantitative Super‐Resolution Imaging of Molecular Tension
Quantitative tension PAINT (qtPAINT) is a new method to quantify molecular tension at super‐resolution by exploiting force‐dependent DNA oligonucleotide dissociation kinetics. Combining hairpin tension probes and molecular‐beacon imagers, qtPAINT achieves 9–30 pN continuous force quantification range with 30–120 nm spatial and minute‐scale temporal ...
Seong Ho Kim+4 more
wiley +1 more source