High-speed Imaging
High-speed Imaging - Related Videos
11:59
High-speed Particle Image Velocimetry Near Surfaces
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Cited by 19 •
2013
A procedure for studying transient flows near boundaries using high-resolution, high-speed particle image velocimetry (PIV) is described here. PIV is a non-intrusive measurement technique applicable to any optically accessible flow by optimizing several parameter constraints such as the image and recording properties, the laser sheet properties, and analysis algorithms.
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.
05:31
Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
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Cited by 4 •
2020
Cavitation microbubbles are imaged using a high-speed camera attached to a zoom lens. The experimental setup is explained, and image analysis is used to calculate the area of the cavitation. Image analysis is done using ImageJ.
09:45
Implementation of Interference Reflection Microscopy for Label-free, High-speed Imaging of Microtubules
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Cited by 19 •
2019
This protocol is a guide for implementing interference reflection microscopy on a standard fluorescence microscope for label-free, high-contrast, high-speed imaging of microtubules using in vitro surfaces assays.
09:35
Investigating Outer Hair Cell Motility with a Combination of External Alternating Electrical Field Stimulation and High-speed Image Analysis
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Cited by 3 •
2011
A reliable method to investigate outer hair cell (OHC) motile responses, including electromotility, slow motility and bending, is described. OHC motility is elicited by stimulation with an external alternating electrical field, and the method takes advantage of high-speed image recording, LED-based illumination, and last generation image analysis software.
FAQs
Frame rate determines how frequently images are recorded, while exposure time controls how long each image captures the event. For rapidly changing biological processes, a high frame rate samples motion more finely and a short exposure reduces the distance a structure travels during capture. Together, these settings help distinguish successive stages of movement and support measurements of timing and dynamics rather than a blurred impression.
Short exposure times are valuable for limiting motion blur, but they restrict the conditions available for resolving each brief capture. Intense illumination can help produce usable images during rapid recording, while specialized sensors can support the acquisition of fast-changing scenes. These components become important when biological structures change so quickly that ordinary recording conditions would obscure their progression.
Compared with conventional recording, the advantage is not simply a faster camera; it is the ability to separate successive stages of a brief event. Rapid acquisition reduces the chance that changes between frames go unobserved, while short exposures limit blur. This makes the method useful when the research question depends on exact movement, timing, or rapid transitions.
A biological workflow begins by capturing a rapid image sequence with a frame rate and exposure time suited to the event being studied. Intense illumination or specialized sensors can be incorporated when needed to reduce blur and resolve brief changes. The resulting sequence is then examined for changes in timing, movement, and spatial position, connecting visible dynamics with biological function.
High-speed imaging can address questions from cellular mechanisms to whole-organism behavior. At the cellular level, it can expose stages of cell division or ciliary beating; at the tissue and organismal levels, it can show muscle contraction, blood flow, locomotion, and interactions with the environment. This range allows one approach to support research in physiology, biomechanics, behavior, and cell biology.
The recorded sequence can provide quantitative information about when a change occurs, how structures move, and where spatial changes develop over time. These measurements transform rapid visual events into data suitable for examining physiological activity, mechanical performance, behavioral patterns, or cellular processes. The outcome is more than a visual record because the sequence supports analysis of biological dynamics.