Tumor Simulating Test Objects
Tumor Simulating Test Objects - Related Videos
14:38
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Cited by 12 •
2012
We describe a novel methodology for creating naturalistic 3-D objects and object categories with precisely defined feature variations. We use simulations of the biological processes of morphogenesis and phylogenesis to create novel, naturalistic virtual 3-D objects and object categories that can then be rendered as visual images or haptic objects.
03:03
Chick Chorioallantoic Membrane or CAM Tumor Model: An In Ovo Method to Simulate Perineural Invasion of Tumor Cells
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2023
In this video, we describe the method to co-culture dorsal root ganglia and cancer cells on chick chorioallantoic membrane or CAM to study perineural invasion.
10:14
Object Substitution Masking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Visual masking is a term used by perceptual scientists to refer to a wide range of phenomena in which in an image is presented but not perceived by an observer because of the presentation of a second image. There are several different kinds of masking, many of them relatively intuitive and unsurprising. But one surprising and important type of masking is called Object Substitution Masking. It has been a focus of research in vision...
05:55
Multiple Object Tracking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In a staggeringly complex and engaging world, it is crucial to selectively process some stimuli at the expense of others. Experimental psychologists call this ability attention. Specifically, visual attention refers to the ability to selectively process aspects of a visual scene. Many paradigms used to study visual attention involve brief, punctuated, and repeated trials. However, everyday situations often place sustained demands...
09:46
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Cited by 48 •
2012
An efficient way to gain insight into how humans navigate themselves in three dimensions is described. The method takes advantage of a motion simulator capable of moving observers in ways unattainable by traditional simulators. Results confirm that movement in the horizontal plane is underestimated, while vertical movement is overestimated.
FAQs
Tumor-like geometry, dimensions, and measurable material properties are the main design variables. Together, they determine whether the object can provide a controlled representation of the physical or structural features relevant to a particular experiment. Adjusting these variables allows researchers to examine how imaging systems, sensors, or intervention devices perform under defined and repeatable test conditions.
Measurable material properties give researchers a way to evaluate device behavior against a defined physical standard rather than an uncontrolled specimen. When these properties are incorporated into a stable object, experiments can be repeated under comparable conditions. This supports systematic assessment of device performance and helps identify whether observed differences arise from the technology being tested.
A stable, standardized test object reduces the variation associated with biological specimens whose physical or structural features may differ between samples. Researchers can therefore repeat imaging, sensing, or intervention experiments using comparable geometry, dimensions, and material properties. This consistency makes performance measurements easier to compare across trials and strengthens the reliability of bioengineering evaluations.
By presenting defined tumor-like structures to a device, the models allow researchers to study how geometry and size affect detection, image formation, spatial discrimination, or treatment targeting. The resulting observations connect physical model characteristics with measurable technology performance. This provides a controlled way to investigate design limitations before methods are advanced toward clinically relevant applications.
A typical workflow begins by selecting the tumor-like geometry, dimensions, and material properties needed for the experiment. The engineered object is then incorporated into a controlled test setup for imaging, sensing, or intervention assessment. Researchers measure outcomes such as detection accuracy, spatial resolution, or targeting performance and compare results across standardized conditions.
They are useful when a study requires repeatable conditions for calibrating or evaluating medical imaging systems and diagnostic instruments. Because the object provides defined physical and structural features, researchers can test whether a system detects the modeled target and resolves its position consistently. This supports controlled comparisons during technology development and performance testing.
For image-guided systems, the models provide a consistent target against which localization and treatment targeting can be examined. Researchers can compare the intended target position with the system's ability to identify and guide intervention toward it under controlled conditions. Such testing helps evaluate performance systematically and supports translation of laboratory methods toward clinically relevant use.