Axo Graph X Software
Axo Graph X Software - Related Videos
10:41
VisualEyes: A Modular Software System for Oculomotor Experimentation
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Cited by 28 •
2011
Neural control and cognitive processes can be studied through eye movements. The VisualEyes software allows an operator to program stimuli on two computer screens independently using a simple, custom scripting language. The system can stimulate tandem eye movements (saccades and smooth pursuit) or opposing eye movements (vergence) or any combination.
01:30
Graphing Antiderivatives
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2026
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
01:07
Ogive Graph
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2025
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this type...
08:47
Automated Analysis of C. elegans Swim Behavior Using CeleST Software
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Cited by 17 •
2016
An efficient and simple methodology for computer-based analysis of nematode swimming behavior in liquid is described. The method requires little to no investment for C. elegans laboratories. The hardware used is standard, and the computer software for the behavioral analysis (CeleST) is an open source one.
01:30
Graphs of Functions
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2025
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
FAQs
AxoGraph X receives recorded amplifier output and converts it into digital data. This conversion allows voltage-clamp or current-clamp traces to be displayed in a form that can be examined quantitatively. Because the same workflow connects acquisition with later measurements, researchers can relate visible electrical signals to numerical descriptions of neuronal or ion-channel behavior.
These recording modes let investigators examine electrical behavior from complementary perspectives. AxoGraph X can display voltage- or current-clamp traces, so users can select measurements suited to the signal being studied. In practice, this supports analysis of action potentials, synaptic currents, and membrane properties without treating every electrophysiological recording as the same type of evidence.
They convert complex electrophysiological traces into structured measurements. Event detection helps identify relevant signal occurrences, waveform measurements describe features of those events, and curve fitting summarizes quantitative patterns in the data. Together, these functions make it easier to compare recordings and evaluate changes in neuronal or ion-channel activity using reproducible analytical criteria.
A typical workflow begins by acquiring the electrophysiological signal through the amplifier, converting the output into digital data, and viewing the resulting voltage- or current-clamp trace. The researcher then applies suitable analysis tools, such as event detection, waveform measurements, or curve fitting. This sequence links the raw recording to interpretable quantitative results.
The platform supports investigations of action potentials, synaptic currents, membrane properties, and drug-induced changes in cellular excitability. These applications allow researchers to examine how neurons respond electrically and how ion-channel activity contributes to those responses. The resulting measurements can help characterize functional changes across different experimental conditions in cellular neuroscience.
Researchers can compare electrophysiological recordings collected under different drug-related conditions and quantify changes in the resulting traces. Analysis of action potentials, synaptic currents, or membrane properties provides several complementary measures of cellular excitability. By connecting displayed recordings with event, waveform, and fitted measurements, the software supports investigation of drug effects on neural communication mechanisms.