Coda System
Coda System - Related Videos
08:54
Measuring Blood Pressure in Mice using Volume Pressure Recording, a Tail-cuff Method
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Cited by 175 •
2009
The CODA 8-Channel High Throughput Non-Invasive Blood Pressure system measures the blood pressure in up to 8 mice or rats simultaneously. This tail-cuff system uses Volume Pressure Recording (VPR) to measure the blood pressure by determining the tail blood volume.
14:45
Transgenic Rodent Assay for Quantifying Male Germ Cell Mutant Frequency
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Cited by 28 •
2014
De novo mutations in the male germline may contribute to adverse health outcomes in subsequent generations. Here we describe a protocol for the use of a transgenic rodent model for quantifying mutations in male germ cells induced by environmental agents.
07:04
Ex Vivo Culture of Pharyngeal Arches to Study Heart and Muscle Progenitors and Their Niche
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Cited by 5 •
2015
Here, we present a protocol to culture pharyngeal arches to study the biology of heart and muscle progenitor cells and their microenvironment.
07:15
A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens
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Cited by 2 •
2017
Isolating electrical and thermal effects on electrically assisted deformation (EAD) is very difficult using macroscopic samples. Metallic sample micro- and nanostructures together with a custom test procedure have been developed to evaluate the impact of applied current on the formation without joule heating and evolution of dislocations on these samples.
18:48
Murine Renal Transplantation Procedure
0 Views •
Cited by 20 •
2009
Renal transplantation in mice is a technically challenging procedure that requires careful post-operative care and treatment for success.
FAQs
Synchronization aligns readings from sensors or recording devices within a shared acquisition timeline. This alignment lets researchers relate changes in one measured signal to events captured by another device or to time-dependent biological responses. As a result, comparisons across observations become more consistent, reducing ambiguity caused by separately recorded or manually aligned data streams.
Calibration establishes how recorded signals correspond to the measurements being studied, while signal processing prepares those signals for consistent analysis. Together, these steps help convert raw recordings into interpretable measurements and limit variation introduced during acquisition. Their use is especially important when researchers compare samples, organisms, or experimental conditions using the same measurement framework.
Consistency depends on using suitable sensors or recording devices, applying appropriate calibration and signal-processing steps, and following protocols matched to the biological measurement. The selected module also matters because different measurements may require different acquisition and analysis arrangements. Controlling these elements supports reproducible comparisons and makes resulting datasets more suitable for statistical analysis.
A typical workflow connects the relevant sensors or recording devices, configures data acquisition, and synchronizes the collected signals. Researchers then apply calibration and signal-processing procedures before reviewing the measurements in software. The processed results can be organized for comparison across samples, organisms, or conditions, provided that the selected module and protocol fit the experiment.
Selection should follow the biological response being measured and the structure of the experiment. Movement, physiology, behavior, and other time-dependent responses may require different modules or protocols. Matching the configuration to the measurement helps ensure that acquisition, calibration, and analysis produce data that can be compared meaningfully across the intended samples or experimental conditions.
The workflow can support studies of movement, physiology, behavior, and other biological responses that change over time. By reducing reliance on manual scoring and organizing measurements for comparison, it can contribute to phenotyping, statistical analysis, and longitudinal research. These applications are most useful when researchers apply standardized acquisition and analysis procedures throughout the study.