Graphpad Prism
Graphpad Prism - Related Videos
10:35
Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy
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Cited by 26 •
2017
Here, we present a procedure for performing large-scale Ca2+ imaging with cellular-resolution across multiple cortical layers in freely moving mice. Hundreds of active cells can be observed simultaneously using a miniature, head-mounted microscope coupled with an implanted prism probe.
06:12
Virtual Prism Adaptation Therapy: Protocol for Validation in Healthy Adults
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Cited by 14 •
2020
This experimental protocol demonstrates the use of virtual prism adaptation therapy (VPAT) in healthy adults and the association between VPAT and functional near infrared spectroscopy to determine the effect of VPAT on cortical activation. Results suggest that VPAT may be feasible and could induce similar behavioral adaptation as conventional prism adaptation therapy.
06:35
Fluorescence Recovery After Photobleaching (FRAP) of Fluorescence Tagged Proteins in Dendritic Spines of Cultured Hippocampal Neurons
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Cited by 33 •
2011
FRAP has been used to quantify the mobility of Green Fluorescence Protein (GFP)-tagged proteins in cultured cells. We examined the mobile/immobile fractions of the GFP by analyzing the fluorescence recovery percentage after photobleaching. In this study, FRAP was performed at spines of hippocampal neurons.
10:48
Vaccinia Reporter Viruses for Quantifying Viral Function at All Stages of Gene Expression
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Cited by 5 •
2014
We describe the usage of a fluorescent reporter vaccinia virus that enables real-time measurement of viral infectivity and gene expression through the stage-specific expression of spectrally distinct reporter fluorophores. We detail a plate-based method for accurately identifying the stage at which virus replication is affected in response to small molecule inhibition.
07:59
The Analysis of Purkinje Cell Dendritic Morphology in Organotypic Slice Cultures
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Cited by 15 •
2012
We present a protocol that permits to view and to quantitatively asses the morphology of the dendritic tree of individual Purkinje cells grown in organotypic cerebellar slice cultures. This protocol is intended to promote studies on the mechanisms of Purkinje cell dendritic development.
FAQs
Structured data tables provide an organized starting point for linking experimental measurements to graphs and analysis workflows. Their arrangement helps users keep related observations together while examining differences, relationships, or trends. In neuroscience, this organization can make behavioral scores, electrophysiological measurements, imaging results, and drug-response values easier to inspect consistently before interpreting statistical summaries.
Curve fitting helps researchers evaluate the pattern connecting measured values rather than viewing individual observations only as separate points. This is particularly relevant when neuroscience experiments examine drug-response data or other changing measurements. By applying a curve-fitting workflow and viewing the resulting graph, investigators can assess whether the observed relationship supports a meaningful trend for further interpretation.
Statistical comparisons summarize whether measured groups or conditions differ within the selected analysis workflow, while graphs show the pattern and scale of those measurements. Considering both prevents a numerical summary from being separated from the underlying data presentation. In neuroscience, this combined view can clarify how behavioral, electrophysiological, or imaging results support an experimental conclusion.
Graph choices influence how clearly readers see differences, relationships, and trends in experimental measurements. Customizable graphs allow the presentation to be adapted to the type of result being examined, such as a behavioral score or imaging measurement. Clear visual organization strengthens communication and helps researchers identify patterns that may guide interpretation or follow-up experiments.
A practical workflow begins by organizing measurements in structured data tables, then generating a graph suited to the comparison or relationship of interest. Researchers can next apply an appropriate statistical comparison or curve-fitting workflow and review the resulting summary alongside the visualization. This sequence connects data organization, visual inspection, quantitative analysis, and interpretation in one reproducible process.
GraphPad Prism can support several neuroscience data types, including behavioral scores, electrophysiological recordings, imaging measurements, and drug-response data. The relevant workflow depends on whether the study focuses on differences, relationships, or trends. Using a consistent approach across these applications can improve how experimental results are visualized, summarized, and communicated to others.
Visualizations and statistical summaries can reveal whether observed measurements show differences, relationships, or trends that warrant closer investigation. In neuroscience, these outputs may help researchers interpret behavioral, electrophysiological, imaging, or drug-response findings and identify questions for subsequent experiments. The value lies in connecting organized results with transparent presentation rather than relying on a single numerical result.