Motion Projection
Motion Projection - Related Videos
02:18
Fischer Projections
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2023
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
02:06
Newman Projections
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2023
Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively. The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as conformers.
16:44
Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging
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Cited by 15 •
2009
We suggest a Born normalized approach for Optical Projection Tomography (BnOPT) that accounts for the absorption properties of imaged samples to obtain accurate and quantitative fluorescence tomographic reconstructions. We use the proposed algorithm to reconstruct the fluorescence molecular probe distribution within small animal organs.
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Cited by 9 •
2013
This video describes the fundamentals of digital fringe projection techniques, which provide dense 3D measurements of dynamically changing surfaces. It also demonstrates the design and operation of a high-speed binary defocusing system based on these techniques.
11:41
Kinematics and Projectile Motion
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2023
Source: Ketron Mitchell-Wynne, PhD, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA This experiment demonstrates the kinematics of motion in 1 and 2 dimensions. This lab will begin by studying motion in 1 dimension, under constant acceleration, by launching a projectile directly upward and measuring the maximum height reached. This lab will verify that the maximum height reached is consistent with the kinematic...
FAQs
A projection onto a unit vector produces a signed scalar component: the sign indicates whether the motion points with or against the chosen direction, while the magnitude measures how much of the motion lies along it. This distinction is useful when comparing velocity with a track, force direction, or measurement axis, because only the aligned component contributes directly to that directional description.
Rotating the axes changes the numerical values assigned to the components, but it does not change the underlying displacement or velocity vector. A useful orientation can isolate motion along a constraint or plane, making relationships easier to inspect. Thus, axis selection is an analytical choice that simplifies the model without altering the physical motion being represented.
Because projection depends on the direction used for measurement, two viewpoints can assign different components to the same motion. In relative-motion analysis, the selected direction may describe movement with respect to another object or observer. Comparing these components helps distinguish a change in the physical motion from a change in how that motion is represented.
Begin by identifying the displacement or velocity vector and selecting the direction, axis, or plane relevant to the question. Express that direction with a unit vector, then obtain the vector’s component along it and interpret its sign and magnitude. For perpendicular coordinates, analyze the resulting components together to reconstruct the motion’s relationships.
Separating a projectile’s motion into horizontal and vertical components turns one trajectory into two linked descriptions. Each component can then be examined according to the forces and constraints acting in that direction, rather than treating the path as an undivided curve. Recombining the components clarifies the full trajectory and supports comparison with measured positions.
In collision analysis, projected components allow motion to be compared along selected directions, such as an axis relevant to the interaction. The same approach supports relative-motion problems and engineering models in which constraints act along particular lines or planes. The resulting component values provide a clearer basis for interpreting how motion changes in relation to those directions.