Millimeter Resolution Sampling
Millimeter Resolution Sampling - Related Videos
06:06
Sediment Core Extrusion Method at Millimeter Resolution Using a Calibrated, Threaded-rod
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Cited by 21 •
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An extrusion method using a calibrated threaded-rod is presented, which allows for mm scale subsampling of aquatic sediment cores. Millimeter-scale sampling is necessary to fully characterize recent event stratigraphy in sediment records.
16:52
Test Samples for Optimizing STORM Super-Resolution Microscopy
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Cited by 48 •
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We describe the preparation of three test samples and how they can be used to optimize and assess the performance of STORM microscopes. Using these examples we show how to acquire raw data and then process it to acquire super-resolution images in cells of approximately 30-50 nm resolution.
08:57
High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
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Cited by 13 •
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Non-destructive volume visualization can be achieved only by tomographic techniques, of which the most efficient is the x-ray micro computerized tomography ( CT).
04:14
Expansion Pathology: A Method for High-resolution Optical Imaging of Clinical Tissue Samples
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2023
In this video, we describe a method called expansion pathology, a variant of expansion microscopy, wherein the clinical tissue specimens are chemically expanded using a polymer network for microscopic examination of nanoscale structures.
05:31
Sample Preparation for Single Virion Atomic Force Microscopy and Super-resolution Fluorescence Imaging
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Cited by 4 •
2014
The attachment of virions to a surface is a requirement for single virion imaging by Super-resolution fluorescence imaging or atomic force microscopy (AFM). Here we demonstrate a sample preparation method for controlled adhesion of virions to glass surfaces suitable for use in AFM and super-resolution fluorescence imaging.
FAQs
The key advantage is spatial preservation: each millimeter-scale location remains associated with its own chemical measurement instead of being combined into one bulk value. That separation allows neighboring measurements to be compared directly, making local changes visible and showing where composition shifts occur within the specimen or reaction region.
Sampling at approximately millimeter-scale intervals provides a balance between broad coverage and local chemical detail. Closely spaced locations can distinguish a gradual concentration gradient from a sharper transition, while widely averaged measurements may merge those features. The selected spacing therefore affects how confidently researchers recognize heterogeneity and define boundaries between chemically different regions.
When a sample contains chemically distinct zones, bulk analysis can produce a single average that does not represent any one location. Millimeter resolution sampling avoids that loss by retaining separate results for each portion. In chemistry, this distinction is especially useful for locating reaction zones, identifying contamination patterns, and detecting material heterogeneity.
A practical workflow begins by identifying the specimen or reaction region to be examined, dividing it into closely spaced millimeter-scale locations, and collecting or analyzing material from each location separately. The resulting measurements should remain linked to their sampling positions, so composition can be compared across the region rather than collapsed into a single bulk result.
Millimeter resolution sampling is particularly informative when chemistry may vary across solids, surfaces, or confined environments. A researcher can examine separate portions of these settings to determine whether a measured composition is broadly uniform or localized to particular areas. This supports chemical mapping and helps distinguish genuine spatial variation from conclusions based only on bulk material.
The resulting spatially resolved measurements can guide interpretation of concentration gradients, reaction zones, contamination patterns, and material heterogeneity. Comparing adjacent sampling locations shows whether a feature is localized or distributed across the sample. That evidence improves sampling accuracy and can clarify processes that a whole-sample measurement would obscure.