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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
Line: 249
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File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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Filename: models/Detail_model.php
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Although light microscopy is a powerful tool for the assessment of kidney physiology and pathology, it has traditionally been unable to resolve structures separated by less than the ~250 nm diffraction limit of visible light. Here, we report on the optimization, validation, and application of a recently developed super-resolution fluorescence microscopy method, called expansion microscopy (ExM), for volumetric interrogation of mouse and human kidney tissue with 70-75 nm lateral and ~250 nm axial spatial resolution. Using ExM with a standard confocal microscope, we resolve fine details of structures that have traditionally required visualization by electron microscopy, including podocyte foot processes, the glomerular basement membrane, and the cytoskeleton. This inexpensive and accessible approach to volumetric, nanoscale imaging enables visualization of fine structural details of kidney tissues that were previously difficult or impossible to measure by conventional methodologies.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039510 | PMC |
http://dx.doi.org/10.1038/s41598-018-28694-2 | DOI Listing |
Nat Methods
December 2024
Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
Three-dimensional structured illumination microscopy (3D-SIM) provides excellent optical sectioning and doubles the resolution in all dimensions compared with wide-field microscopy. However, its much lower axial resolution results in blurred fine details in that direction and overall image distortion. Here we present 4Pi-SIM, a substantial revamp of IS that synergizes 3D-SIM with interferometric microscopy to achieve isotropic optical resolution through interference in both the illumination and detection wavefronts.
View Article and Find Full Text PDFArXiv
October 2024
Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
The promise of large-scale, high-resolution datasets from Electron Microscopy (EM) and X-ray Microtomography (XRM) lies in their ability to reveal neural structures and synaptic connectivity, which is critical for understanding the brain. Effectively managing these complex and rapidly increasing datasets will enable new scientific insights, facilitate querying, and support secondary use across the neuroscience community. However, without effective neurodata standards that permit use of these data across multiple systems and workflows, these valuable and costly datasets risk being underutilized especially as they surpass petascale levels.
View Article and Find Full Text PDFJ Phys Chem B
November 2024
Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, United States.
Science
October 2024
Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Hydrogels, known for their mechanical and chemical similarity to biological tissues, are widely used in biotechnologies, whereas semiconductors provide advanced electronic and optoelectronic functionalities such as signal amplification, sensing, and photomodulation. Combining semiconducting properties with hydrogel designs can enhance biointeractive functions and intimacy at biointerfaces, but this is challenging owing to the low hydrophilicity of polymer semiconductors. We developed a solvent affinity-induced assembly method that incorporates water-insoluble polymer semiconductors into double-network hydrogels.
View Article and Find Full Text PDFHeliyon
August 2024
Department of Mechanical and Aerospace Engineering, Brunel University London, Uxbridge, UB8 3PH, United Kingdom.
High entropy alloys (HEAs) are alloys composed of five or more primary elements in equal or nearly equal proportions of atoms. In the present study, the thermophysical properties of the CoCrFeNiCu high entropy alloy (HEA) were investigated by a molecular dynamics (MD) method at nanoscale. The effects of the content of individual elements on lattice thermal conductivity were revealed, and the results suggested that adjusting the atomic content can be a way to control the lattice thermal conductivity of HEAs.
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