Canine Heart Validation
Canine Heart Validation - Related Videos
09:34
In Vivo Canine Muscle Function Assay
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Cited by 19 •
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We describe a minimally-invasive and painless method to measure canine hindlimb muscle strength and muscle response to repeated eccentric contractions.
12:09
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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A methodology to estimate ventricular fiber orientations from in vivo images of patient heart geometries for personalized modeling is described. Validation of the methodology performed using normal and failing canine hearts demonstrate that that there are no significant differences between estimated and acquired fiber orientations at a clinically observable level.
09:37
Isolation and Expansion of Adult Canine Hippocampal Neural Precursors
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The canine brain is a valuable model in which to study adult neurogenesis. Presented here are protocols for isolating and expanding adult canine hippocampal neural precursor cells from primary brain tissue.
08:24
Isolation and Culture of Primary Endothelial Cells from Canine Arteries and Veins
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Cited by 11 •
2016
Novel isolation methods of primary endothelial cells from blood vessels are needed. This protocol describes a new technique that completely inverts blood vessels of interest, exposing only the endothelial side to enzymatic digestion. The resulting pure endothelial cell culture can be used to study cardiovascular diseases, disease modelling, and angiogenesis.
06:45
A Simple Fluorescence Assay for Quantification of Canine Neutrophil Extracellular Trap Release
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Cited by 8 •
2016
Neutrophil extracellular traps (NETs) are networks of DNA, histones and neutrophil proteins. Although a component of the innate immune response, NETs are implicated in autoimmunity and thrombosis. This protocol describes a simple method for canine neutrophil isolation and quantification of NETs using a microplate fluorescence assay.
FAQs
A useful validation plan links each model claim to a corresponding canine reference. Structural comparisons examine anatomy, while functional comparisons assess contractility, electrical activity, hemodynamics, or responses to defined loading and stimulation. This separation shows whether a platform reproduces form, baseline behavior, and condition-dependent performance rather than receiving a single overall judgment.
Defined loading and stimulation conditions test whether cardiac behavior remains representative when the system is challenged in a controlled way. Measuring responses under these conditions can reveal performance differences that are not apparent from anatomy or unstimulated observations alone. In bioengineering, this helps determine whether an engineered platform behaves consistently across experimentally relevant settings.
Structural accuracy is evaluated through agreement with relevant canine anatomy, whereas functional accuracy concerns outputs such as contraction, electrical activity, hemodynamics, and responses to imposed conditions. A construct or device may resemble cardiac structure without reproducing its behavior. Assessing both dimensions therefore provides a more informative evaluation of model fidelity and exposes domain-specific limitations.
The process begins by identifying the cardiac features the model or device is intended to reproduce, then selecting matching canine reference measurements. Investigators compare outputs from the heart model, tissue construct, imaging system, or bioengineered device under defined conditions. Interpreting agreement across anatomy, function, and stimulus responses helps establish reliability and document remaining limitations.
Validation can be applied to several platform types, including canine heart models, tissue constructs, imaging systems, and bioengineered devices. The relevant comparison depends on what each platform is designed to represent: anatomy for structural models, cardiac behavior for tissue systems, measured features for imaging, or performance under defined conditions for devices. This scope supports platform-specific evaluation.
Its main value is preclinical evaluation of cardiovascular devices, therapies, and regenerative approaches. By testing whether an engineered platform reproduces clinically important canine cardiac behavior, researchers can assess experimental reliability before translation to human research. Validation also identifies model limitations early, helping teams interpret results appropriately and avoid treating an unverified platform as a dependable surrogate.