Multimodality Chamber
Multimodality Chamber - Related Videos
01:16
Chambers of the Heart
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2025
The human heart is a complex organ made up of four chambers: the right and left atria and the right and left ventricles. These internal chambers are separated by partitions known as the interatrial and interventricular septa. The exterior of the heart features a groove known as the coronary sulcus that demarcates the atria from the ventricles, while the anterior and posterior interventricular sulci distinguish between the two ventricles. Deoxygenated blood from the body is received in the right...
06:51
Multimodal Behavioral Phenotyping of Stress-Induced Depression-Like States in Drosophila melanogaster
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2026
This protocol provides a framework for assessing stress-induced behavioral changes in Drosophila melanogaster. Combining complementary assays enables the quantification of activity, exploration, and decision-making for individual flies. The approach is flexible and can be adapted to a wide range of studies investigating stress biology, metabolism, and neurobehavioral function.
07:33
A Customizable Chamber for Measuring Cell Migration
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Cited by 2 •
2017
This protocol details a customizable method to measure cell migration in response to chemoattractants that may also be used to determine the diffusion rate of a drug out of a polymer matrix.
11:28
Biofunctionalized Prussian Blue Nanoparticles for Multimodal Molecular Imaging Applications
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Cited by 17 •
2015
This protocol describes the synthesis of biofunctionalized Prussian blue nanoparticles and their use as multimodal, molecular imaging agents. The nanoparticles have a core-shell design where gadolinium or manganese ions within the nanoparticle core generate MRI contrast. The biofunctional shell contains fluorophores for fluorescence imaging and targeting ligands for molecular targeting.
19:32
Preterm EEG: A Multimodal Neurophysiological Protocol
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Cited by 39 •
2012
This video explains the background theory of the neonatal EEG activity and the sensory responses, followed by a live demonstration of their recording in neonatal intensive care unit.
FAQs
Alignment depends on compatibility among the integrated sensors or imaging systems and on coordinated acquisition. Data may then be spatially registered, meaning corresponding measurements are matched to the same location, or combined through signal fusion. This organization lets anatomical and functional information be interpreted together rather than as isolated outputs, supporting a more complete assessment when one technology leaves information incomplete.
Stable conditions reduce changes in the patient, specimen, or experimental model that could complicate comparisons between technologies or sessions. Keeping the setup controlled helps preserve consistent acquisition while complementary measurements are collected. This matters especially for longitudinal monitoring and preclinical studies, where observed differences should be interpretable as biological or disease-related changes rather than setup variation.
Anatomical and functional measurements answer different aspects of assessment. When collected through coordinated technologies, structural findings can be considered alongside functional information, helping characterize disease more fully than a single modality may allow. This complementary view can support clinical assessment and image-guided procedures when either type of information alone is incomplete.
By keeping measurements within a consistent enclosure and setup, it can help collect comparable data across imaging sessions. Coordinated acquisition and spatial registration make it easier to relate measurements from different technologies or time points. In medicine, this supports tracking changes in disease characterization over time while reducing inconsistencies caused by changing measurement conditions.
A typical workflow begins by selecting compatible sensors or imaging systems for the patient, specimen, or model. The systems are integrated within the controlled enclosure, and acquisition is synchronized. Measurements are then spatially registered or combined through signal fusion, while chamber conditions remain stable. The resulting complementary data can be assessed together for anatomical, functional, or disease-related findings.
Configuration should account for whether the selected sensors or imaging systems can operate together and produce measurements that can be synchronized, spatially registered, or fused. The enclosure must also maintain suitable stable conditions for the relevant patient, specimen, or model. These choices determine whether outputs can be meaningfully compared and interpreted as complementary information.
It is useful when anatomical or functional information alone does not adequately characterize a condition. In clinical settings, coordinated measurements can support image-guided procedures and broader disease assessment. In research, the same setup can enable longitudinal monitoring or preclinical studies involving a patient, specimen, or experimental model.
Combined measurements can provide complementary anatomical and functional information within one coordinated assessment. Through spatial registration or signal fusion, outputs from different technologies may be related rather than reviewed independently. The result can strengthen disease characterization, support image-guided clinical work, and make measurements across imaging sessions more consistent for monitoring and preclinical research.