High Speed Image Acquisition
High Speed Image Acquisition - 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.
07:27
Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy
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Cited by 2 •
2016
We describe a detailed protocol using high-resolution episcopic microscopy to acquire three-dimensional (3D) images of mouse embryos. This improved protocol utilizes a modified tissue preparation method to enhance penetration of the fluorescent dye, thereby permitting morphometric analysis of both small and large-sized specimens.
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.
09:17
Point-of-Care Lung Ultrasound in Adults: Image Acquisition
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Cited by 15 •
2023
Point-of-care ultrasound (POCUS) of the lungs provides quick answers in rapidly changing clinical scenarios. We present an efficient and informative protocol for image acquisition for use in acute care settings.
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.
FAQs
Short exposure times limit the interval during which motion can blur each image, while high frame rates increase the number of observations made during a rapid event. These settings work together: exposure duration affects image sharpness, and frame rate determines how finely motion is sampled over time. Balancing both helps preserve measurable temporal detail in biological processes.
Synchronized illumination coordinates when light is delivered with sensor exposure and image capture. This timing helps ensure that each recorded frame corresponds to a controlled observation interval rather than inconsistent illumination. In studies of moving tissue, blood flow, or cellular activity, coordinated timing supports clearer sequential data and improves confidence when researchers compare changes from one frame to the next.
Precise timing links image capture to the rapidly changing biological or device-related event being studied. Without accurate coordination, frames may be recorded at inconsistent points in the process, making motion harder to interpret. Timing control therefore supports reliable temporal ordering, which is essential when researchers measure tissue movement, characterize flow, or evaluate interactions between a medical device and tissue.
Conventional imaging may fail to preserve brief stages of motion when events occur faster than the system can record them. High Speed Image Acquisition addresses this limitation by combining rapid sequential capture with short exposures, synchronized illumination, and fast data handling. The resulting time-resolved sequence can reveal motion patterns and intermediate states that a slower acquisition may miss.
A typical setup begins by selecting an image sensor capable of short exposures and high frame rates. Researchers then coordinate illumination and capture timing, establish rapid data transfer, and record sequential images of the target event. The resulting sequence can be reviewed as time-resolved data, allowing motion, flow, cellular dynamics, or device-tissue interactions to be characterized quantitatively.
Medical researchers use it when biological or mechanical changes occur too quickly for conventional imaging to resolve adequately. Relevant investigations include blood flow, tissue movement, cellular dynamics, and interactions between devices and tissue. By making these transient events measurable, the approach supports physiological research, assessment of procedures, and development of diagnostic technologies with greater temporal detail.
Sequential images provide a time-resolved record rather than a single static view. Researchers can examine how blood, tissue, cells, or a device-tissue interface changes across successive moments, then use that record for quantitative analysis. This information can reveal the timing and progression of transient behavior, supporting physiological interpretation and evaluation of medical procedures or imaging systems.