Reference Sphere
Reference Sphere - Related Videos
01:23
Reference & Citation Tools in Practice
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2026
Citations play a key role in academic writing by documenting the evidence that supports scholarly claims. Beyond giving credit to original authors, they show engagement with existing research and strengthen the credibility of an argument. Effective citation practices are central to research literacy because they reflect a writer’s ability to locate, evaluate, and integrate reliable sources into their work. Digital Tools for Citation Management Advances in digital technology have simplified the...
09:23
Turbulence Sphere Method: Evaluating Wind Tunnel Flow Quality
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2023
Source: Jose Roberto Moreto and Xiaofeng Liu, Department of Aerospace Engineering, San Diego State University, San Diego, CA Wind tunnel tests are useful in the design of vehicles and structures that are subjected to airflow during their use. Wind tunnel data are generated by applying a controlled air flow to a model of the object being studied. The test model usually has a similar geometry but is a smaller scale compared to the full-sized object. To ensure accurate and useful data is collected...
01:27
Symbolic Understanding II: Displaced Reference
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2026
Displaced reference is an important milestone in symbolic understanding that begins to emerge around 12 months of age. It is the ability to use words to refer to objects, people, or events that are not currently visible. This ability allows infants and toddlers to learn through communication even when objects or events are not directly present.Early DevelopmentBy approximately 12 to 13 months, infants may respond to the name of an absent familiar object by looking or pointing toward the place...
16:11
Implementation of a Reference Interferometer for Nanodetection
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2014
A reference interferometer technique, which is designed to remove undesirable laser jitter noise for nanodetection, is utilized for probing an ultra-high quality factor microcavity. Instructions for assembly, setup, and data acquisition are provided, alongside the measurement process for specifying the cavity quality factor.
02:26
Generating 3D Co-culture Spheres of Astrocytes and Neurons to Induce Synapse Formation
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2025
This video demonstrates a procedure for co-culturing the astrocytes and neurons to form 3D spheres. These 3D spheres provide a distinct platform for examining synapse formation and neural network integration, thereby serving as a potential model for research in developmental neuroscience, neurodegenerative diseases, and neuropharmacological interventions.
FAQs
The measurement system samples points on the artifact and fits them to a spherical model. The calculated center and surface form can then be compared with the sphere’s expected geometry. Differences indicate potential errors in positioning, scale, or calibration, helping engineers determine whether an observed deviation comes from the measurement system rather than the object being inspected.
A known radius provides a fixed geometric standard against which measured data can be evaluated. The calibrated surface form also supplies a consistent target for assessing how closely the sampled points match ideal spherical geometry. Together, these properties help separate genuine dimensional results from inaccuracies introduced by scanning, coordinate measurement, or vision equipment.
Multiple spheres provide shared geometric features that different scans can measure in common. Their calculated centers establish a coordinate relationship, allowing separate datasets to be aligned or registered. This approach is useful when one scan cannot capture the complete measurement area, because the common sphere locations connect measurements made from different positions or system views.
Engineers place the calibrated artifact where the scanner, coordinate-measuring machine, or vision system can sample its surface. The system records points, fits those points to a spherical model, and calculates the sphere’s center. That result is compared with the expected geometry, and the comparison is used to evaluate positioning, scale, registration, or calibration.
They use these artifacts when a stable geometric standard is needed to evaluate the measurement system itself. A part may contain unknown dimensional variation, whereas the calibrated sphere supplies known geometry for comparison. This makes the approach useful during system calibration, scan registration, positioning checks, and inspection workflows where accuracy and repeatability are important.
In 3D scanning and dimensional metrology, measured sphere centers can help assess system geometry and align separate scans. In robotic calibration, the spheres provide geometric references for evaluating positioning relationships. During inspection, comparisons with expected spherical geometry help reveal measurement-system behavior, supporting more consistent results across repeated measurements and different engineering setups.