Frame-indexed CSV
One row per frame with columns for X, Y, velocity, acceleration, zone ID, and behavior label. Time-binned summaries also available.
CSV
← Capabilities
Data Export and Analysis
Frame-by-frame data in formats your analysis pipeline already expects
Every session exports as standard CSV and JSON — load directly into R, Python, SPSS, Prism, or any tool without format conversion.
CSV
Frame-indexed position data
JSON
Trial metadata and config
MP4
Annotated tracking video
Open
No proprietary formats
The problem
Proprietary formats lock data inside vendor ecosystems
Many tracking platforms store data in proprietary formats that require vendor-specific export tools or analysis modules. Converting to standard formats introduces an extra step — and potential data loss.
- Proprietary binary formats require vendor tools to read
- Export plugins may not include all measured variables
- Format conversion adds a failure point to the analysis pipeline
The solution
Standard formats from the start
ConductVision writes CSV and JSON natively — no conversion step. Every variable measured is included in the export. Annotated MP4 videos overlay tracking results on the original recording.
- CSV: frame-indexed position, velocity, zone, and behavior labels
- JSON: trial configuration, arena dimensions, grid layout, metadata
- MP4: tracking overlay on original video for visual verification
Endpoints
Three output types cover data, metadata, and visual verification.
JSON metadata
Trial configuration, arena dimensions, zone definitions, grid layout, and analysis parameters — everything needed to reproduce the analysis.
JSON
Annotated tracking video
Original recording with tracking overlay — trajectory, identity labels, zone boundaries, and behavior annotations rendered frame by frame.
MP4
Applications
Standard data formats integrate with any downstream analysis.
Direct import into R, Python, SPSS, or Prism
CSV files load directly into any statistical software without parsing, conversion, or custom import scripts. Column names match standard endpoint terminology.
Measures
- Direct import
- Standard columns
- No conversion
Build on frame-level data
Access raw frame-by-frame data for custom analyses that go beyond built-in endpoints — time series analysis, machine learning, or cross-session comparisons.
Measures
- Frame-level access
- All variables included
- API-friendly
Share results with collaborators
Standard formats require no proprietary software to read. Collaborators can open CSV in Excel, R, or Python without installing ConductVision.
Measures
- No vendor dependency
- Universal readability
- FAIR principles
Visual verification via annotated video
Review tracking quality by watching annotated MP4 output. Verify that identity assignment, zone detection, and behavior classification are correct before proceeding to statistics.
Measures
- Visual review
- Frame-by-frame check
- Error detection
Related capabilities
NIH DMS Compliance
Structured data packages that satisfy NIH Data Management and Sharing policy for grant compliance.
External Data Workflows
Re-analyze existing video recordings with ConductVision without re-recording experiments.
Zone and Spatial Analysis
Configurable spatial zones with automated dwell time, entry count, and heatmap analysis for any arena.
Export your data in formats you already use
Download the trial, run a session, and open the CSV directly in your analysis software.
