Results 11 to 20 of about 1,316,697 (275)

Single-particle imaging of nanomedicine entering the brain. [PDF]

open access: yesProc Natl Acad Sci U S A
Significance Drug delivery via nanocarriers is a groundbreaking approach. However, the in vivo behaviors of these nanocarriers remain largely unknown due to the lack of techniques. Here, we develop an optical method to image nanocarriers in tissues.
Wei M   +5 more
europepmc   +4 more sources

Ultrafast Single-Particle Imaging with Intense X-Ray Pulses

open access: yesCHIMIA, 2022
Ultrafast single-particle imaging with intense x-ray pulses from free-electron laser sources provides a new approach for visualizing structure and dynamics on the nanoscale. After a short introduction to the novel free-electron laser sources and methods,
Zhibin Sun   +6 more
doaj   +4 more sources

An encryption–decryption framework to validating single-particle imaging [PDF]

open access: yesScientific Reports, 2021
We propose an encryption–decryption framework for validating diffraction intensity volumes reconstructed using single-particle imaging (SPI) with X-ray free-electron lasers (XFELs) when the ground truth volume is absent.
Zhou Shen   +3 more
doaj   +7 more sources

Optimizing aerodynamic lenses for single-particle imaging [PDF]

open access: yesJournal of Aerosol Science, 2017
A numerical simulation infrastructure capable of calculating the flow of gas and the trajectories of particles through an aerodynamic lens injector is presented.
N. Roth, S. Awel, D. Horke, J. Kupper
semanticscholar   +9 more sources

Structural Heterogeneity in Single Particle Imaging Using X-ray Lasers. [PDF]

open access: yesJ Phys Chem Lett, 2020
One of the challenges facing single particle imaging with ultrafast X-ray pulses is the structural heterogeneity of the sample to be imaged. For the method to succeed with weakly scattering samples, the diffracted images from a large number of individual
Mandl T   +7 more
europepmc   +8 more sources

Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging. [PDF]

open access: yesIUCrJ, 2022
Two unsupervised machine learning approaches are presented to characterize structural variations in nanoparticle ensembles measured using X-ray single-particle imaging.
Zhuang Y   +41 more
europepmc   +2 more sources

Single-Particle Optical Imaging for Ultrasensitive Bioanalysis

open access: yesBiosensors, 2022
The quantitative detection of critical biomolecules and in particular low-abundance biomarkers in biofluids is crucial for early-stage diagnosis and management but remains a challenge largely owing to the insufficient sensitivity of existing ensemble ...
Yujie Liu   +3 more
doaj   +3 more sources

Lanthanide-Based Nanosensors: Refining Nanoparticle Responsiveness for Single Particle Imaging of Stimuli. [PDF]

open access: yesACS Photonics, 2021
Lanthanide nanoparticles (LNPs) are promising sensors of chemical, mechanical, and temperature changes; they combine the narrow-spectral emission and long-lived excited states of individual lanthanide ions with the high spatial resolution and controlled ...
Casar JR   +3 more
europepmc   +2 more sources

Reference-enhanced x-ray single-particle imaging [PDF]

open access: yesOptica, 2020
X-ray single particle imaging involves the measurement of a large number of noisy diffraction patterns of isolated objects in random orientations. The missing information about these patterns is then computationally recovered in order to obtain a three ...
K. Ayyer
semanticscholar   +4 more sources

Comparison of EMC and CM methods for orienting diffraction images in single-particle imaging experiments [PDF]

open access: yesIUCrJ, 2021
In single-particle imaging (SPI) experiments, diffraction patterns of identical particles are recorded. The particles are injected into the X-ray free-electron laser (XFEL) beam in random orientations.
Miklós Tegze, Gábor Bortel
doaj   +2 more sources

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