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Dataset results
25 results for “Super resolution microscopy”
Data from: Cholesterol and ORP1L dependent clustering of dynein on endolysosmes in cells 2 revealed by super resolution microscopy
<p>The sub-cellular positioning of endolysosomes is crucial for regulating their function. Particularly, the positioning of endolysosomes between the cell periphery versus the peri-nuclear region impacts autophagy, mTOR (mechanistic target of rapamycin) signaling and other processes. The mechanisms that regulate the positioning of endolysosomes at these two locations are still being uncovered. Here, using quantitative super-resolution microscopy in intact cells, we show that the retrograde motor dynein forms nano-clusters on endolysosomal membranes containing 1-2 dyneins, with an average of ~3 nanoclusters per endolysosome. These data suggest that a very small number of dynein motors (1-6) drive endolysosome motility inside cells. Surprisingly, dynein nano-clusters are slightly larger on peripheral endolysosomes having higher cholesterol levels compared to peri-nuclear ones. By perturbing endolysosomal membrane cholesterol levels, we show that dynein copy number within nano-clusters is influenced by the amount of endolysosomal cholesterol while the total number of nano-clusters per endolysosome is independent of cholesterol. Finally, we show that the dynein adapter protein ORP1L (Oxysterol Binding Protein Homologue) regulates the number of dynein motors within nano-clusters in response to cholesterol levels. We propose a new model by which endolysosomal transport and positioning is influenced by the cholesterol sensing adapter protein ORP1L, which influences dynein's copy number within nano-clusters.</p>
Super-resolution microscopy: a brief history and new avenues
<p>A brief history of far-field SRM. (a) Timelines highlighting crucial milestones in the development of SRM techniques (top) and the corresponding introduction of commercial turn-key super-resolution systems (bottom). For each SRM technique, the corresponding authors of the subsequent publication have been listed. (c) The number of publications extracted from the Web of Science database. (d) Correlation between the approximate purchase costs and the nominal lateral (xy) resolution or localization precision (SMLM-based systems) achievable under ideal conditions, for commercial and open-source microscopy systems, respectively.</p>
Data from: Cholesterol and ORP1L dependent clustering of dynein on endolysosmes in cells 2 revealed by super resolution microscopy
Open the record for dataset details and reuse information.
Characterizing the Microvascular Environment of Bladder Cancer With Super-Resolution Ultrasound Localization Microscopy
ClinicalTrials.gov study NCT06986304. IPD Sharing: NO. Countries: 1. Publications: 0.
Single-molecule detection and super-resolution imaging with a portable and adaptable 3D-printed microscopy platform (Brick-MIC)
<p>Supplementary Videos, CAD 3D-printing templates and assembly instructions</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.