Digital Camera Imaging
Digital Camera Imaging - Related Videos
14:25
Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Cited by 7 •
2013
A technique for performing quantitative three-dimensional (3D) imaging for a range of fluid flows is presented. Using concepts from the area of Light Field Imaging, we reconstruct 3D volumes from arrays of images. Our 3D results span a broad range including velocity fields and multi-phase bubble size distributions.
10:30
Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
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Cited by 3 •
2013
Dual camera emission splitting systems for two-color fluorescence microscopy generate real-time image sequences with exceptional optical and temporal resolution, a requirement of certain live cell assays including parallel plate flow chamber adhesion assays. When software is employed to merge images from simultaneously acquired emission channels, pseudocolored image sequences are produced.
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.
08:45
Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation
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Cited by 12 •
2014
In order to understand the spatial development of polymerization shrinkage stress in dental resin-composite restorations, Digital Image Correlation was used to provide full-field displacement/strain measurement of restored model glass cavities by correlating images of the restoration taken before and after polymerization.
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
Each pixel records a localized difference in light intensity and, where color information is captured, color. Software combines these electrical signals into a digital image that can be examined across regions of a specimen. This pixel-based representation supports comparison of visual features and quantitative analysis rather than relying only on an observer’s description.
Illumination, focus, exposure, and image resolution are the main quality controls identified for Digital Camera Imaging in biology. Adjusting them carefully improves the quality of recorded images and makes observations more consistent across samples. This matters when investigators compare specimen structures, document changes over time, or extract measurements such as size, shape, location, and movement.
Once a biological image has been recorded, investigators can analyze features including shape, size, location, and movement. These measurements turn an image into data that can be compared among specimens or across observations. The approach is therefore useful not only for visual documentation, but also for evaluating how biological structures or processes differ in space or over time.
Control illumination, focus, exposure, and image resolution before capturing the specimen. The sensor converts incoming light into electrical signals, and software stores those signals as an image. Researchers can then document the specimen, observe it repeatedly, or analyze features such as size, shape, location, and movement. Careful control at capture supports stronger comparisons during later analysis.
It is useful when researchers need a record of a specimen, want to examine structures with microscopy, or need to follow changes through time-lapse observation. The same images can also support quantitative analysis, allowing features such as movement or location to be considered alongside visual appearance. This combination connects documentation with measurement in biological experiments.
Careful control of illumination, focus, exposure, and resolution improves data quality and strengthens comparisons across samples and experiments. This is especially important when investigators evaluate differences in shape, size, location, or movement. Managing these conditions helps ensure that recorded images provide a more consistent basis for interpreting biological structures and processes.