Preclinical Research Device
Preclinical Research Device - Related Videos
07:13
Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Cited by 1 •
2023
The combination of multiple imaging modalities is often necessary to gain a comprehensive understanding of pathophysiology. This approach utilizes phantoms to generate a differential transformation between the coordinate systems of two modalities, which is then applied for co-registration. This method eliminates the need for fiducials in production scans.
08:29
Thermal Measurement Techniques in Analytical Microfluidic Devices
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Cited by 6 •
2015
Here, we present three protocols for thermal measurements in microfluidic devices.
06:51
A Preclinical Murine Model of Hepatic Metastases
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Cited by 119 •
2014
A preclinical, murine model of hepatic metastases performed via a hemispleen injection technique.
11:06
Fabrication of Fully Solution Processed Inorganic Nanocrystal Photovoltaic Devices
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Cited by 4 •
2016
This protocol describes the synthesis and solution deposition of inorganic nanocrystals layer by layer to produce thin film electronics on non-conductive surfaces. Solvent-stabilized inks can produce complete photovoltaic devices on glass substrates via spin and spray coating following post-deposition ligand exchange and sintering.
11:06
3D Printing of Preclinical X-ray Computed Tomographic Data Sets
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Cited by 16 •
2013
Using modern plastic extrusion and printing technologies, it is now possible to quickly and inexpensively produce physical models of X-ray CT data taken in a laboratory. The three -dimensional printing of tomographic data is a powerful visualization, research, and educational tool that may now be accessed by the preclinical imaging community.
FAQs
Controlled pairing is the central mechanism. A device can apply a defined stimulus or deliver a compound, while the experiment records a neural or behavioral response under the same conditions. This relationship helps researchers connect biological mechanisms with measurable outcomes and evaluate whether an observed effect is associated with the tested intervention.
Measurement and manipulation provide complementary functions. Manipulation changes an experimental condition through a stimulus, compound, or other intervention, whereas measurement captures the resulting neural or behavioral response. Support functions help maintain the defined experimental setup. Together, these roles allow researchers to test relationships between an intervention and the response produced by a laboratory model.
Defined conditions make comparisons more meaningful. When stimuli, interventions, and observations are conducted within a controlled experimental framework, researchers can better judge whether differences in neural or behavioral outcomes relate to the factor being studied. This control also supports reproducibility and improves the quality of evidence used to evaluate mechanisms, treatments, or device performance.
Neural and behavioral readouts describe different levels of response. Neural measurements can indicate how biological activity changes, while behavioral observations show how those changes appear in the model's measurable behavior. Choosing one or both helps align the experiment with its purpose, whether the goal is to examine neural circuits, disease-related effects, or responses to an intervention.
A typical workflow establishes a laboratory model, applies a controlled stimulus or intervention, and records the resulting neural or behavioral response. Researchers then examine the measurements in relation to the biological mechanism or experimental question. When relevant, the same work can also evaluate a device's safety and performance before evidence is considered for later clinical translation.
Use depends on the research question. These devices support studies of neural circuits, disease models, drug effects, and the safety or performance of medical technologies. They are especially useful when researchers need controlled stimulation, compound delivery, or systematic recording of responses to determine how an intervention affects a biological or behavioral outcome.
Results provide preclinical evidence about mechanisms, responses, and the behavior of an intervention under defined laboratory conditions. Strong, reproducible findings can help determine whether a treatment or medical technology merits further development toward human studies. Safety and performance observations are also relevant because they indicate whether the tested device or approach functions adequately before clinical evaluation.