Measurand Resolution Improvement
Measurand Resolution Improvement - Related Videos
07:55
Ground State Depletion Super-resolution Imaging in Mammalian Cells
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Cited by 16 •
2017
This article outlines a protocol for the detection of one or more plasma and/or intracellular membrane proteins using Ground State Depletion (GSD) super-resolution microscopy in mammalian cells. Here, we discuss the benefits and considerations of using such approaches for the visualization and quantification of cellular proteins.
08:47
Improved Visualization of Lung Metastases at Single Cell Resolution in Mice by Combined In-situ Perfusion of Lung Tissue and X-Gal Staining of lacZ-Tagged Tumor Cells
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Cited by 12 •
2012
The novel protocol reported in the present study allows selective detection of lung metastases at single cell resolution in mice by combined in-situ lung perfusion and fixation and X-Gal staining of lacZ-tagged tumor cells.
10:06
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
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Cited by 8 •
2012
This article describes techniques to perform high-resolution functional magnetic resonance imaging with 1.2 mm sampling in human midbrain and subcortical structures using a 3T scanner. Use of these techniques to resolve topographic maps of visual stimulation in the human superior colliculus (SC) is given as an example.
16:52
Test Samples for Optimizing STORM Super-Resolution Microscopy
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Cited by 48 •
2013
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.
10:40
High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
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Cited by 2 •
2016
The manuscript describes a method of phonon-assisted quasi-resonant fluorescence spectroscopy that incorporates both laser-limited resolution and photoluminescence (PL) spectroscopy. This method utilizes optical phonons to provide linewidth-limited resolution spectra of atom-like semiconductor structures in the energy domain. The method is also easily realized with a single spectrometer optical spectroscopy setup.
FAQs
Measurand resolution improvement depends heavily on the useful signal-to-noise relationship. A smaller change becomes distinguishable when the measurement signal is strengthened or when noise and other limiting effects are reduced. Sensor choice, signal conditioning, and environmental control address different contributors to that relationship, so improvement is usually a coordinated instrumentation decision rather than a single component upgrade.
A higher-resolution analog-to-digital converter can represent finer differences in an analog sensor output, provided those differences are not obscured by noise or other limits. It therefore supports finer digital discrimination, but it cannot independently correct poor sensor selection, unstable calibration, environmental effects, or measurement bias. Its value must be judged within the complete measurement system.
Resolution concerns whether small changes can be distinguished, whereas accuracy concerns closeness to the intended or correct value. A system may show very fine increments while retaining bias, and it may produce consistent readings without being accurate. Engineers therefore consider resolution together with accuracy, repeatability, sensitivity, and measurement uncertainty when interpreting measurement-system performance.
Controlled environmental conditions can reduce effects that obscure small measurand changes. Stability matters because environmental variation can contribute to noise or other limiting effects in the measurement system. By limiting those influences, engineers preserve the useful signal relative to disturbances, making subtle changes easier to detect and helping ensure that observed resolution reflects system performance.
Implementation typically combines several adjustments: select a suitable sensor, condition its signal, use an appropriately higher-resolution analog-to-digital converter, maintain stable calibration, and control the environment. Engineers should then assess whether smaller changes are distinguishable and interpret the result alongside accuracy, repeatability, sensitivity, and measurement uncertainty. This prevents a resolution gain from being treated as complete measurement validation.
The approach is useful in instrumentation, manufacturing, and scientific testing when engineers need to detect subtle changes, characterize system performance, or make more precise control and diagnostic decisions. In each setting, the improvement supports better discrimination of measured behavior, while the final value depends on how sensor performance, signal quality, calibration, environmental stability, and conversion resolution work together.
Improved measurand resolution can support more precise control decisions, diagnostic decisions, and characterization of system performance. In testing, finer discrimination helps reveal behavior that coarser measurement might not separate. These benefits depend on the rest of measurement quality: resolution alone does not remove bias or uncertainty, so conclusions should also include accuracy, repeatability, sensitivity, and measurement uncertainty.