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Knowledge of a detection system's point-spread function (PSF) allows improving image resolution by deconvolving this PSF. The slanted-edge or Siemens-star approaches are commonly used to retrieve the PSF. The latter retrieves the PSF with a poor angular resolution and requires an intricate, sometimes expensive test pattern. The former provides the line-spread function only. Rotating this edge, the PSF could be retrieved in a tedious and time-consuming procedure. Other alternatives are line-pair resolution test charts or point-like light sources, e.g., tiny pinholes or fluorescent beads, which suffer from long acquisition times either due to the need for pattern rotation or very low flux. Here, a single-shot method is presented to retrieve the complete two-dimensional PSF by employing a circular aperture and a back-projection approach similar to computed tomography, which overcomes the issues mentioned above. Additionally, the accuracy of the PSF determination is improved by integrating a sub-pixel-resolution approach. Furthermore, simulations are employed to analyze the method's susceptibility to noise and to assess its intrinsic accuracy. Lastly, an X-ray detector assembly is characterized with this method to showcase the detailed insights into the system's aberrations that can be obtained. Since this technique is not restricted to the X-ray regime, it can be applied to characterize detector systems in other regions of the electromagnetic spectrum. This enables the method's widespread use in the imaging community.
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http://dx.doi.org/10.1364/OE.542925 | DOI Listing |
Unlabelled: Passive Acoustic Mapping (PAM) is rapidly emerging as a ubiquitous tool for real-time localization and monitoring of therapeutic ultrasound treatments involving cavitation in the context of safety or efficacy. The ability of PAM to spatially quantify and resolve cavitation activity offers a unique opportunity to correlate the energy of cavitation phenomena with locally observed bioeffects.
Objective: We aim to develop methods of measuring and reporting spatio-temporally varying cavitation energies that are energy-preserving, device-independent, and adequately normalized to the volume of tissue being affected by the reported cavitation activity.
Direct myelin imaging with inversion-recovery ultrashort-echo-time (IR-UTE) is highly motion-sensitive, yet extra hardware or longer scans are impractical. We evaluated whether a superior-inferior (SI) self-navigator with bit-reversed spoke-angles mitigates motion artifacts without extending acquisition. Dual-echo IR-UTE was implemented at 3T.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Laboratory of Noise and Audio Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
The deconvolution approach has become a standard method for high-resolution acoustic source mapping, but it suffers from a heavy computational burden. Deep learning-based methods have shown promising progress but often rely on single-type input features and ignore the position- and frequency-dependent variabilities of the point spread function (PSF), which leads to a decline in localization accuracy. This paper proposes a supervised learning framework based on dual-encoder U-net architecture to convert beamforming maps into a high-resolution map of true source strength distribution.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Chemistry, Stanford University, Stanford, California 94305, USA.
We present an efficient detection scheme for localization of Double Helix point-spread functions for 3D single-molecule localization microscopy or tracking. Using steerable filters, we extract both 2D position and lobe orientation (axial position) estimates using just 7 convolutions, orders of magnitude less than used in deep learning based approaches. For a complete SMLM analysis pipeline, we pair this detection with a fitter using an optimally parameterized double Gaussian model, and implement both as a plugin for the open source PYthon Microscopy Environment (PYME).
View Article and Find Full Text PDFCytotechnology
October 2025
Core Facilities, Zhejiang University School of Medicine, Hangzhou, 310058 China.
Super-resolution fluorescence microscopy (SRM) has enabled visualization of nanoscale cellular structures, but systematic evaluation of resolution assessment methods across diverse biological structures and SRM modalities remains lacking. Here, we comparatively assessed three resolution metrics-Full Width at Half Maximum (FWHM), decorrelation analysis, and Fourier Ring Correlation (FRC)-across two SRM techniques (Super-resolution Radial Fluctuation, SRRF; Stimulated Emission Depletion, STED) using key subcellular structures: microtubules (filaments), mitochondria (membranes), and nuclear pore protein Nup98 (single particles) in HeLa/U2OS cells. Our results showed decorrelation analysis provided robust resolution estimates across all structures and modalities (confocal/SRRF/STED), exhibiting superior performance for dense nuclear pore complexes where FWHM failed due to overlapping point spread functions.
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