Image Acquisition Parameters
Image Acquisition Parameters - Related Videos
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.
05:01
A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
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Cited by 4 •
2017
Recently, we have developed a portable multimodality monitoring system for the monitoring of various physiological parameters in neurosurgical critical patients. Detailed protocols on how to use this multimodality monitoring system are presented here.
08:01
Rapid Scan Electron Paramagnetic Resonance Opens New Avenues for Imaging Physiologically Important Parameters In Vivo
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Cited by 11 •
2016
A new electron paramagnetic resonance (EPR) method, rapid scan EPR (RS-EPR), is demonstrated for 2D spectral spatial imaging which is superior to the traditional continuous wave (CW) technique and opens new venues for in vivo imaging. Results are demonstrated at 250 MHz, but the technique is applicable at any frequency.
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.
05:51
Diaphragmatic Ultrasound in Adults: Image Acquisition and Interpretation
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Cited by 2 •
2025
Point-of-care ultrasound (POCUS) is an essential technique for screening for diaphragmatic dysfunction due to its portability, non-invasiveness, and real-time imaging capabilities. Although current diaphragmatic POCUS protocols exist, they suffer from poor interoperator reliability and lack consensus guidelines. Here we describe a technique that is reproducible and simple to perform.
FAQs
The balance depends on whether the experiment prioritizes fine neural structure, rapid activity, or both. Higher spatial resolution can improve visualization of cellular morphology, whereas higher temporal resolution better captures changing neuronal dynamics. Selecting settings without considering the biological timescale may obscure relevant events or produce data that cannot support the intended analysis.
Exposure time and detector sensitivity affect how much usable signal the system records. Adjusting them can improve signal-to-noise ratio, which helps distinguish neural features or activity from background variation. However, acquisition choices must also be evaluated for motion artifacts, because image movement can reduce interpretability even when the recorded signal appears strong.
Pixel or voxel size determines how visual information is spatially represented, while sampling rate determines how frequently changes are captured. These settings influence whether cellular morphology, neuronal activity, or brain-wide patterns can be resolved adequately. Consistent choices are especially important when comparing experiments, because parameter differences can affect apparent structure or dynamics.
The relevant settings depend on what each modality is intended to reveal. Fluorescence microscopy and calcium imaging may require attention to cellular detail and changing signals, while electrophysiology-linked imaging connects recorded activity with visual measurements. Magnetic resonance studies emphasize brain-wide patterns. In every case, parameter choices shape which neural features can be detected and compared.
Begin by identifying the neural feature or activity pattern that must be measured, then select spatial and temporal resolution, pixel or voxel size, exposure time, detector sensitivity, and sampling rate accordingly. Evaluate the resulting signal-to-noise ratio and motion artifacts, and record the chosen settings. This workflow supports interpretable data and more reliable quantitative analysis.
They are particularly important when experiments measure cellular morphology, neuronal dynamics, or brain-wide patterns, because each target may require different spatial or temporal detail. Careful optimization also matters when imaging is paired with electrophysiology or when fluorescence, calcium, or magnetic resonance methods are compared. Appropriate settings help ensure that detected differences reflect biology rather than acquisition conditions.
Reports should identify the settings that control spatial and temporal representation, including pixel or voxel size, exposure time, detector sensitivity, and sampling rate. Describing these parameters allows other researchers to judge signal quality, motion artifacts, and measurement limits. Consistent reporting also makes quantitative comparisons across experiments more defensible and helps reproduce fluorescence, calcium, electrophysiology-linked, or magnetic resonance studies.