Video Acquisition Protocol
Video Acquisition Protocol - Related Videos
07:46
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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2016
The data acquisition procedure for determining embedded sensitivity functions is described. Data is acquired and representative results are shown for a residential scale wind turbine blade.
10:19
Video Tracking Protocol to Screen Deterrent Chemistries for Honey Bees
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Cited by 7 •
2017
The loss of honey bee colonies presents a challenge to crop pollination services. Current pollinator protection practices warrant an alternative approach to minimize the contact of honey bees to harmful pesticides using repellent chemistries. Here, we provide detailed methods for a visual tracking protocol to screen deterrents for bees.
07:00
Acquisition of High-Quality Digital Video of Drosophila Larval and Adult Behaviors from a Lateral Perspective
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2014
Here we describe a simple and widely accessible microscopy technique to acquire high-quality digital video of Drosophila adult and larval mutant phenotypes from a lateral perspective.
07:30
Protocol for Producing Three-Dimensional Infrared Video of Freezing in Plants
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Cited by 1 •
2018
Here, we present a protocol to image a strawberry plant freezing in 3 dimensions. Two infrared cameras positioned at slightly different angles are used to produce a red-blue anaglyph video to observe the freezing of the plant in 3 dimensions.
09:18
A Video Protocol of Retroviral Infection in Primary Intestinal Organoid Culture
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Cited by 40 •
2014
This protocol explains primary Lgr5-positve organoid culture and the subsequent performance of retroviral transduction. This enables Cre-inducible overexpression or knockdown of the delivered transgene and allows functional studies to be carried out in the novel in vitro organotypic model system.
FAQs
Synchronization establishes a shared temporal reference for visual behavior and neural measurements. It allows researchers to determine which video-defined events, such as movement or facial responses, occurred alongside particular stimuli or neural signals. This alignment is especially important in multimodal experiments, where behavioral observations must be compared with recordings collected from the nervous system.
Spatial calibration establishes how image locations correspond to the observed experimental space, while field of view determines which behavior and equipment remain visible. Together, they support consistent measurement of movement, posture, and interactions with experimental apparatus. Maintaining these parameters across recordings improves comparability and helps reduce variability when researchers quantify behavior manually or with automated tracking.
These conditions determine whether dynamic events are captured with consistent image quality and timing. Appropriate illumination supports usable visual information, camera settings help maintain comparable recordings, and frame timing determines how behavioral changes are represented over time. Controlling all three reduces measurement variability and strengthens comparisons across trials, subjects, or experimental conditions.
Reproducibility depends on standardizing the recording conditions that affect image content and timing. A consistent field of view, spatial calibration, illumination, camera configuration, and frame timing gives repeated recordings a common measurement framework. This consistency helps distinguish genuine differences in movement, posture, or responses from changes caused by the acquisition setup itself.
A practical setup establishes the camera configuration, illumination, field of view, spatial calibration, and frame timing before data collection. The protocol then coordinates video capture with behavioral stimuli or neural recordings when required. Applying these conditions consistently produces visual data suitable for manual scoring, automated tracking, or later comparison across experimental sessions.
Researchers can use standardized video acquisition when they need to characterize movement, posture, facial responses, or interactions with experimental equipment. Consistent recordings make these behaviors available for manual scoring or automated tracking, supporting behavioral phenotyping across subjects or conditions. The resulting measurements can also provide an observable behavioral layer for studies of neural circuits.
In multimodal studies, video supplies a time-resolved behavioral record that can be aligned with stimuli and neural recordings. Researchers may use the resulting data to relate observed actions or responses to underlying brain activity. Standardized acquisition improves the reliability of that relationship by keeping visual timing, image quality, spatial coverage, and experimental conditions consistent.