Fluorescence imaging techniques play a pivotal role in our understanding of the nervous system. The emergence of various super-resolution microscopy methods and specialized fluorescent probes enables direct insight into neuronal structure and protein arrangements in cellular subcompartments with so far unmatched resolution. Super-resolving visualization techniques in neurons unveil a novel understanding of cytoskeletal composition, distribution, motility, and signaling of membrane proteins, subsynaptic structure and function, and neuron-glia interaction. Well-defined molecular targets in autoimmune and neurodegenerative disease models provide excellent starting points for in-depth investigation of disease pathophysiology using novel and innovative imaging methodology. Application of super-resolution microscopy in human brain samples and for testing clinical biomarkers is still in its infancy but opens new opportunities for translational research in neurology and neuroscience. In this review, we describe how super-resolving microscopy has improved our understanding of neuronal and brain function and dysfunction in the last two decades.
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Long-Axial-Range Double-Helix Point Spread Functions for 3D Volumetric Super-Resolution Imaging.
J Phys Chem B
November 2024
Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, United States.
Article Synopsis
- Single-molecule localization microscopy (SMLM) enables high-resolution imaging beyond traditional light diffraction limits, particularly in 3D using engineered point spread functions (PSFs).
- The study addresses challenges in super-resolving structures in thick samples by introducing long-axial-range double-helix (DH)-PSFs, which streamline the imaging and analysis workflows.
- Experimentation shows that these DH-PSFs, combined with deep learning techniques, enhance image resolution and speed, achieving effective 3D imaging without the need for complex slicing or postprocessing.
Long axial-range double-helix point spread functions for 3D volumetric super-resolution imaging.
bioRxiv
August 2024
Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA.
Single-molecule localization microscopy (SMLM) is a powerful tool for observing structures beyond the diffraction limit of light. Combining SMLM with engineered point spread functions (PSFs) enables 3D imaging over an extended axial range, as has been demonstrated for super-resolution imaging of various cellular structures. However, super-resolving structures in 3D in thick samples, such as whole mammalian cells, remains challenging as it typically requires acquisition and post-processing stitching of multiple slices to cover the entire sample volume or more complex analysis of the data.
View Article and Find Full Text PDFSuper-resolving microscopy reveals the localizations and movement dynamics of stressosome proteins in Listeria monocytogenes.
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View Article and Find Full Text PDFReconstructing high fidelity digital rock images using deep convolutional neural networks.
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