Multiscale Imaging Approach
Multiscale Imaging Approach - Related Videos
11:15
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Cited by 30 •
2013
Neuroimaging researchers typically consider the brain's response as the mean activity across repeated experimental trials and disregard signal variability over time as "noise". However, it is becoming clear that there is signal in that noise. This article describes the novel method of multiscale entropy for quantifying brain signal variability in the time domain.
08:24
Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach
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2016
This protocol describes a method to quantify mouse sociability. Mice are videotaped as they move and interact in a special cage. Movie processing allows for the automated quantification of sociability with excellent accuracy and reliability.
09:43
In vivo Near Infrared Fluorescence (NIRF) Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis
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Cited by 32 •
2011
We detail a new near-infrared fluorescence (NIRF) catheter for 2-dimensional intravascular molecular imaging of plaque biology in vivo. The NIRF catheter can visualize key biological processes such as inflammation by reporting on the presence of plaque-avid activatable and targeted NIR fluorochromes. The catheter utilizes clinical engineering and power requirements and is targeted for application in human coronary arteries. The following research study describes a multimodal imaging strategy...
06:14
Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces
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Cited by 2 •
2018
Presented is an easy method to fabricate nano-micro multiscale structures, for functional surfaces, by aggregating nanofibers fabricated using an anodic aluminum oxide filter.
04:35
A Rapid Approach to High-Resolution Fluorescence Imaging in Semi-Thick Brain Slices
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Cited by 10 •
2011
Here we describe a rapid and simple method to image fluorescently labeled cells in semi-thick brain slices. By fixing, slicing, and optically clearing brain tissue we describe how standard epifluorescent or confocal imaging can be used to visualize individual cells and neuronal networks within intact nervous tissue.
FAQs
Alignment across scales provides the link between a local observation and a larger biological outcome. Measurements must be interpreted in relation to one another so that molecular or cellular events can be connected with tissue or organ behavior. This integrated view helps determine whether a structural feature remains local or contributes to a system-level response, strengthening quantitative bioengineering analysis.
Modalities should be selected for complementary strengths rather than treated as interchangeable. One measurement may offer finer spatial resolution, while another provides greater sensitivity or a broader field of view. Combining these capabilities allows investigators to examine the same engineered or biological system at appropriate scales, reducing the risk that conclusions depend on only one type of measurement.
Temporal scale is as important as spatial scale when interpreting a biological process. Measurements collected at different time scales can be related to follow how molecular events, cellular changes, and tissue or organ behavior develop together. In bioengineering, this perspective supports a more complete account of structure and function, especially when evaluating how a local interaction produces a broader outcome.
A practical workflow starts by defining the biological levels and behaviors that must be connected. Investigators then combine measurements from modalities suited to those scales, align the resulting data, and interpret them together rather than independently. This sequence turns separate observations into a cross-scale analysis that can quantitatively relate local structure or activity to larger biological behavior.
Biomaterials, engineered tissues, organoids, and disease models are direct application areas. The approach can reveal how local interactions within these systems relate to cellular organization, tissue behavior, or broader functional outcomes. Such information helps bioengineers characterize whether a designed material or model behaves consistently across levels, supporting more informed evaluation of biological performance.
Cross-scale measurements provide quantitative evidence for evaluating therapeutic systems and testing computational descriptions of biological structure and function. Observations at molecular, cellular, tissue, and organ levels can show whether a model captures relationships across organization or whether a therapeutic design produces the intended broader response. These comparisons help guide refinement of both engineered interventions and computational models.