In digital holographic particle image velocimetry, hologram truncation is a very prominent problem when the projection of the particle position to the sensor is close to the sensor edge. Using the convolution approach to reconstruct such a hologram yields a deformed particle image compared to a particle image resulting from a particle with a projection to the center of the sensor. This Letter shows that the deformation complicates particle position detection based on an algorithm originally developed for analog holography by Choo and Kang, and later applied to digital holography by Yang and Kang. This algorithm is refined for the detection of particle positions from the deformed images and applied to numerical and experimental data.
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http://dx.doi.org/10.1364/OL.41.004947 | DOI Listing |
Adv Sci (Weinh)
January 2025
Discovery Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, Mölndal, 43150, Sweden.
Targeted delivery of therapeutic agents is a persistent challenge in modern medicine. Recent efforts in this area have highlighted the utility of extracellular vesicles (EVs) as drug carriers, given that they naturally occur in bloodstream and tissues, and can be loaded with a wide range of therapeutic molecules. However, biodistribution and tissue tropism of EVs remain difficult to study systematically.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
January 2025
From the Section General Internal Medicine, Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Background: Explantation often alleviates symptoms in women with breast implant illness. However, persistent complaints in some cases may be linked to persistent silicone-induced inflammation from residual silicone particles. Positron emission tomography (PET) imaging could potentially detect this inflammation.
View Article and Find Full Text PDFAdv Mater
January 2025
Third Institute of Physics - Biophysics, Georg August University, Friedrich-Hund Platz 1, 37077, Göttingen, Germany.
In the burgeoning field of super-resolution fluorescence microscopy, significant efforts are being dedicated to expanding its applications into the 3D domain. Various methodologies have been developed that enable isotropic resolution at the nanometer scale, facilitating the visualization of 3D subcellular structures with unprecedented clarity. Central to this progress is the need for reliable 3D structures that are biologically compatible for validating resolution capabilities.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, United States.
Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling the determination of high-resolution 3-Dimensional (3D) structures of large biological macromolecules. Protein particle picking, the process of identifying individual protein particles in cryo-EM micrographs for building protein structures, has progressed from manual and template-based methods to sophisticated artificial intelligence (AI)-driven approaches in recent years. This review critically examines the evolution and current state of cryo-EM particle picking methods, with an emphasis on the impact of AI.
View Article and Find Full Text PDFIUCrJ
March 2025
RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, USA.
2D template matching (2DTM) can be used to detect molecules and their assemblies in cellular cryo-EM images with high positional and orientational accuracy. While 2DTM successfully detects spherical targets such as large ribosomal subunits, challenges remain in detecting smaller and more aspherical targets in various environments. In this work, a novel 2DTM metric, referred to as the 2DTM p-value, is developed to extend the 2DTM framework to more complex applications.
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