Spatial Resolution 20 Microns
Spatial Resolution 20 Microns - Related Videos
08:51
Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
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Cited by 9 •
2008
We used synchrotron X-ray tomography at the European Synchrotron Radiation Facility (ESRF) to non-invasively produce 3D tomographic datasets with a pixel-resolution of 0.7µm. Using volume rendering software, this allows the reconstruction of internal structures in their natural state without the artefacts produced by histological sectioning.
09:49
Micron-scale Resolution Optical Tomography of Entire Mouse Brains with Confocal Light Sheet Microscopy
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Cited by 20 •
2013
In this article we describe the full experimental procedure to reconstruct, with high resolution, the fine brain anatomy of fluorescently labeled mouse brains. The described protocol includes sample preparation and clearing, specimen mounting for imaging, data post-processing and multi-scale visualization.
10:36
Prescribed 3-D Direct Writing of Suspended Micron/Sub-micron Scale Fiber Structures via a Robotic Dispensing System
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Cited by 6 •
2015
Here, we present a protocol to fabricate freely-suspended, micron/sub-micron scale polymer fibers and “web-like” structures generated via automated direct writing procedure by means of a 3-axis dispensing system.
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
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Spatial Cueing
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Attention refers to the limited human ability to select some information for processing at the expense of other stimuli in the environment. Attention operates in all sensory modalities: vision, hearing, touch, even taste and smell. It is most often studied in the visual domain though. A common way to study visual attention is with a spatial cueing paradigm. This paradigm allows researchers to measure the consequences of focusing...
FAQs
These factors jointly determine whether neighboring neural structures appear separate or merge into one measurement. Optics influence the detail delivered to the detector, detector performance affects how that detail is recorded, and signal contrast controls how clearly structures differ from their surroundings. A limitation in any one component can reduce the practical detail available for analyzing nervous tissue.
Signal contrast determines how readily a structure can be distinguished from adjacent tissue or background. Even when the system is operating near a 20-micron scale, weak differences in signal may make boundaries or nearby cells difficult to separate visually or quantitatively. Interpreting results therefore requires considering not only nominal resolution, but also how clearly relevant neural features are represented.
Sampling determines how the measured image or signal represents spatial detail. If the sampling does not adequately capture structures at the intended scale, the resulting data may provide an incomplete view of cell organization or tissue boundaries. Researchers must therefore consider sampling alongside optics and detector performance when deciding whether measurements support reliable quantitative analysis.
Researchers should assess the method as a complete imaging or measurement system rather than relying on a single performance value. They can examine its optics, detector performance, signal contrast, and sampling, then determine whether these factors allow nearby neural structures to appear distinct. This evaluation helps match the method to the anatomical detail and quantitative measurements required by the study.
A 20-micron scale can support mapping cell organization and anatomical patterns in nervous tissue. It may help researchers examine how cells are arranged, identify tissue boundaries, and quantify spatial features at a defined level of detail. These measurements can provide structural context for studies that investigate neural organization, while keeping conclusions aligned with the system’s spatial limit.
Spatial detail sets the scale at which anatomical observations can be related to neural function or disease. Measurements at approximately 20 microns can reveal patterns of cellular organization and tissue structure, but they should be interpreted at that level rather than assumed to describe finer features. Recognizing this boundary helps researchers connect structural findings to biological questions without overstating the data.