Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
August 12th, 2019
11.5K views
We describe a novel gait analysis system, Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER), an open-access automated system for the quantification of gait characteristics in rats that utilizes a novel semitransparent floor to automatically quantify gait. This system was validated using the haloperidol model of Parkinson’s Disease.
Overview
This article presents PrAnCER, a novel gait analysis system designed for quantifying gait characteristics in rats. Utilizing a semitransparent floor, it provides an automated and accessible method for assessing motor function in various injury and disease models.
Key Study Components
Area of Science
- Neuroscience
- Behavioral analysis
- Motor function assessment
Background
- Current commercial gait systems can be expensive and complex.
- PrAnCER aims to provide an affordable and user-friendly alternative.
- The system is validated using the haloperidol model of Parkinson’s Disease.
- It can assess motor function across various models of injury and disease.
Purpose of Study
- To develop an open-access system for gait analysis in rats.
- To improve accessibility for researchers studying motor function.
- To validate the system against established methods.
Methods Used
- Setup of a clear plexiglass walkway and semitransparent floor.
- Use of a camera to capture paw prints in high contrast.
- Automated analysis using the PrAnCER Python script.
- Manual review and correction of gait parameters post-analysis.
Main Results
- PrAnCER provides reliable gait measures with high accuracy.
- Significant differences in gait parameters were observed in rats treated with haloperidol.
- Results indicate that PrAnCER can effectively analyze various gait characteristics.
- The system allows for customization to assess additional parameters as needed.
Conclusions
- PrAnCER is a valuable tool for researchers studying motor function.
- The system enhances the accessibility of gait analysis.
- Future modifications can expand its capabilities for diverse research needs.
Frequently Asked Questions
What is PrAnCER?
PrAnCER is an automated gait analysis system designed for quantifying gait characteristics in rats.
How does PrAnCER work?
It uses a semitransparent floor to capture high-contrast paw prints while obscuring the animal's body.
What models can PrAnCER be used with?
It can be used to assess motor function in various injury and disease models, including neurodegenerative diseases.
Is PrAnCER easy to set up?
Yes, it is designed to be user-friendly and can be adapted to different setups.
What are the main advantages of using PrAnCER?
It is affordable, accurate, and provides automated analysis of gait parameters.
Can PrAnCER analyze additional gait characteristics?
Yes, the code can be modified to assess any additional gait characteristics desired by the user.
Executive Industry Relevance
Automated, quantitative gait analysis is critical for translational neuroscience and neuromuscular drug discovery, enabling objective assessment of motor deficits in preclinical rodent models. PrAnCER provides a scalable, open-access solution for high-throughput, reproducible measurement of spatiotemporal gait parameters, supporting early-stage target validation and mechanistic de-risking. Its adaptability and affordability facilitate broader adoption across discovery teams, enhancing predictive confidence in motor function endpoints.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables objective quantification of motor phenotypes in disease-relevant rodent models.
- Supports functional target validation by detecting both expected and unexpected gait changes.
- Facilitates mechanistic de-risking through automated, reproducible measurement of motor endpoints.
- Improves predictive confidence for portfolio triage in neuromuscular and neurodegenerative programs.
Screening & Assay Development
- Prepares validated, quantitative gait readouts for downstream compound screening workflows.
- Standardizes assay outputs, reducing operator bias and enhancing reproducibility across studies.
- Enables scalable, automated analysis suitable for high-throughput screening environments.
- Provides customizable parameters to align with diverse assay development needs.
Translational & Preclinical Research
- Aligns preclinical motor function endpoints with translational biomarker strategies.
- Ensures continuity of quantitative gait metrics from discovery through preclinical validation.
- Supports risk-adjusted advancement decisions based on robust, reproducible motor data.
- Facilitates cross-study comparisons and meta-analyses of motor phenotypes.
Pipeline & Workflow Integration
PrAnCER integrates into the discovery-to-preclinical continuum by providing standardized, quantitative gait analysis for rodent models of neurological and neuromuscular disease.
- Discovery Biology: Objectively tests motor hypotheses and clarifies pathway involvement in disease models.
- Screening: Delivers reproducible, quantitative gait outputs for compound evaluation and hit triage.
- Analytics: Outputs CSV files with spatiotemporal gait parameters for statistical comparison across conditions.
- Translational Research: Aligns rodent motor endpoints with clinical biomarker strategies when relevant.
- Enterprise Reuse: Open-access codebase enables adaptation and reuse across multiple disease models and research teams.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in motor function studies.
- Operational Value: Standardizes and automates gait analysis, improving reproducibility and scalability.
- Strategic Value: Enables better go/no-go decisions and capital efficiency by providing robust, quantitative endpoints.
- Portfolio Impact: Supports risk-adjusted prioritization and advancement of neuromuscular and neurodegenerative assets.
Implementation Considerations
- Requires expertise in rodent behavioral assays and Python-based data analysis.
- Needs basic imaging infrastructure (camera, lighting, plexiglass walkway) and computational resources.
- Demands cross-team standardization of video acquisition and analysis parameters.
- Adaptable to various rodent models and experimental setups with minor modifications.
- Manual review of automated outputs may be necessary to ensure data quality.
Biopharma FAQs
Why does null hypothesis testing of gait parameters matter for target validation?
Null hypothesis testing of PrAnCER-derived gait parameters enables objective assessment of whether observed motor changes are statistically significant, supporting robust target validation in preclinical models. This approach reduces subjective bias and strengthens confidence in mechanistic conclusions. Reliable statistical outputs inform early go/no-go decisions for therapeutic programs.
How does independent variable isolation in the haloperidol dosing protocol fit the discovery pipeline?
Isolating haloperidol dose as the independent variable allows precise attribution of gait changes to pharmacological intervention, clarifying mechanistic effects in disease models. This supports early-stage discovery by linking compound exposure to functional outcomes. Such isolation is essential for de-risking target engagement hypotheses.
What do quantitative dependent variable measurements from PrAnCER enable in R&D?
Quantitative measurements of stride length, stance duration, and contact area enable direct comparison of motor function across experimental groups and conditions. These outputs facilitate statistical analysis, cross-study benchmarking, and data-driven advancement decisions. They also support reproducibility and transparency in preclinical research.
Why are replication requirements in automated gait analysis critical for cross-functional collaboration?
Replication of PrAnCER results across operators and studies ensures that gait analysis outputs are robust and transferable between teams. This reliability underpins cross-functional collaboration, enabling consistent data interpretation and integration into broader R&D workflows. Standardized replication reduces risk of false positives or negatives in portfolio decisions.
What statistical analysis capabilities are required before implementing PrAnCER in a screening workflow?
Implementation requires statistical tools to compare gait parameters across treatment groups, assess significance, and control for confounding variables. Teams must be able to process CSV outputs, perform group comparisons, and validate automated results against manual scoring when necessary. These capabilities ensure data integrity and actionable insights for screening campaigns.
Chapters in this video
0:04
Title
0:43
Gait Analysis Apparatus Preparation and Animal Habituation
2:06
Gait Testing Procedure
3:07
Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER) Automated Analysis
4:52
Results: Representative Accuracy of Automated Analysis and Effects of Haloperidol on Gait
5:58
Conclusion
