Imaging Protocol
Imaging Protocol - Related Videos
07:19
Clock Scan Protocol for Image Analysis: ImageJ Plugins
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Cited by 16 •
2017
This paper describes two novel ImageJ plugins for 'Clock Scan' image analysis. These plugins expand the functionality of the original visual basic 6 program and, most importantly, make the program available to a large research community by bundling it with the ImageJ free image analysis software package.
09:59
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
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Cited by 17 •
2017
A protocol for stroke onset time estimation in a rat model of stroke exploiting quantitative magnetic resonance imaging (qMRI) parameters is described. The procedure exploits diffusion MRI for delineation of the acute stroke lesion and quantitative T1 and T2 (qT1 and qT2) relaxation times for timing of stroke.
11:37
RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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Cited by 36 •
2017
An experimental protocol is presented for assessment of soil grown plant root systems with RGB and hyperspectral imaging. Combination of RGB image time series with chemometric information from hyperspectral scans optimizes insights into plant root dynamics.
08:57
The Preparation of Drosophila Embryos for Live-Imaging Using the Hanging Drop Protocol
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Cited by 34 •
2009
A simple, inexpensive, and effective method of preparing Drosophila embryos for live-imaging analysis is presented. Our protocol provides humidity and gas exchange and does not compress the Drosophila embryo. This method is suitable for GFP-based live imaging of Drosophila embryos using a stereomicroscope or upright compound microscope.
15:18
Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
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Cited by 139 •
2009
Despite an increase in the use of structural and functional magnetic resonance imaging (fMRI) in humans, the study of young pediatric populations remains a challenge. We present a hands-on, step-by-step video protocol including guidelines for clinicians and researchers intending to perform (f)MRI in young children.
FAQs
Consistency comes from controlling the entire measurement chain, not merely choosing an imaging instrument. A protocol links sample preparation, sample conditions, modality selection, instrument settings, calibration, image acquisition, and processing parameters. Keeping these elements defined reduces variation in resolution, contrast, and illumination, making visual measurements more comparable across experiments and more interpretable for bioengineered cells, tissues, biomaterials, or constructs.
Resolution, contrast, illumination, and processing settings directly shape what can be measured. Changing resolution may alter the visibility of structural features, while differences in contrast or illumination can affect how boundaries appear. Processing parameters can further influence the resulting measurements. A controlled protocol therefore treats these variables as experimental conditions, helping distinguish genuine structural or functional changes from variation introduced during imaging.
Calibration establishes a defined reference for the imaging system before measurements are compared. Within a protocol, it complements instrument settings and sample conditions by helping ensure that observed image differences reflect the samples or engineered constructs rather than uncontrolled acquisition variation. This is especially important when imaging supports quantitative assessment, validation of fabrication or treatment outcomes, or comparison among experiments.
A practical workflow begins by defining the sample and the visual measurements required, then selecting an imaging modality and specifying sample conditions. Researchers next establish instrument settings, calibration steps, acquisition procedures, and image-processing parameters. Recording these elements as one workflow supports consistent implementation, makes results easier to interpret, and provides a basis for comparing samples, experiments, or engineered constructs.
Conditions should be matched to the structure or function being assessed and kept consistent across the relevant comparisons. The protocol should specify the sample state, imaging modality, instrument settings, illumination, resolution, contrast, and processing approach. Defining these choices together helps researchers obtain images suited to quantitative assessment while limiting changes in appearance caused by the imaging process itself.
Standardized imaging can support quantitative assessment of cells, tissues, biomaterials, and engineered constructs. It enables comparison between experiments, monitoring of structural or functional changes, and validation of fabrication or treatment outcomes. Consistent workflows also improve collaboration and automation because image data are generated and processed in defined ways, supporting broader research use and potential translation into clinical applications.