Phantom Quality Control
Phantom Quality Control - Related Videos
09:59
Anisotropic Polyvinyl Alcohol Phantom Fabrication for Ultrasound Elastography: Procedure and Quality Controls
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2026
This protocol describes a robust, reproducible method for fabricating anisotropic polyvinyl alcohol (PVA) phantoms—essential tools for validating ultrasound elastography techniques targeting mechanically anisotropic soft tissues (e.g., skeletal muscle).
06:33
Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
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Cited by 1 •
2013
This paper describes in-house procedures of constructing a preclinical multimodality phantom made of tissue-mimicking (TM) materials for quality assurance (QA) of tumor size measurement in animal imaging modalities such as ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI).
01:05
Quality Control
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2024
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results. Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
06:09
Studying the Protein Quality Control System of D. discoideum Using Temperature-controlled Live Cell Imaging
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2016
The social amoebae Dictyostelium discoideum has recently been established as a system to study protein misfolding and proteostasis. Here, we describe a new imaging-based methodology to study temperature-induced protein aggregation and the cellular stress response in D. discoideum.
09:27
DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
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Cited by 10 •
2011
We demonstrate the use of DNA microarrays for expression profiling of the nervous system. We describe RNA quality control, sample labeling, and array hybridization and scanning.
FAQs
The reference values provide a decision point for interpreting measured signal, uniformity, resolution, contrast, or attenuation. When observed results depart from those established values, the discrepancy can indicate calibration error or performance drift rather than a change in the specimen. Repeated checks therefore show whether an imaging system remains stable and reproducible.
Known physical or imaging properties make the test object a consistent benchmark across repeated scans, instruments, and study sites. Because the benchmark does not represent changing biology, differences in its measurements can expose technical inconsistency. This standardization supports dependable comparisons over time and helps investigators interpret longitudinal changes with greater confidence.
Phantom quality control establishes whether the imaging system is behaving consistently before biological findings are interpreted. If phantom measurements remain close to their reference values, changes observed in inflammation, immune-cell activity, pathogen-associated features, or treatment response are less likely to reflect system drift. Deviations instead signal a technical factor that requires consideration.
An assessment begins by scanning the standardized phantom under defined conditions. The resulting measurements are then evaluated for properties such as signal, uniformity, resolution, contrast, or attenuation and compared with established reference values. This comparison identifies departures that may reflect calibration errors or performance drift, providing a basis for judging measurement reliability.
The selected characteristics may include measured signal, uniformity, resolution, contrast, and attenuation. Together, they describe whether the system produces consistent and accurate imaging measurements across relevant performance dimensions. Comparing each result with its reference value can reveal a specific departure in system behavior and help determine whether later data are technically comparable.
In immunology and infection studies, regular phantom assessments support imaging of inflammation, immune-cell activity, pathogen-associated changes, and treatment responses. They are especially valuable when measurements are collected longitudinally or across multiple sites. By monitoring system consistency, the process strengthens comparisons between scans and helps separate genuine biological differences from technical measurement error.