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Norpix StreamPix Rodent Behavioral Video Recording Software

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Brand Norpix
Origin Canada
Model StreamPix
Interface Compatibility GigE Vision, USB3 Vision, 10/25 GigE, Camera Link, CoaXPress
Camera & Frame Grabber Support >200 manufacturers (via native SDKs and APIs)
Multi-Computer Synchronization Yes (hardware- and software-triggered exposure sync across distributed systems)
External Signal Integration TTL, analog, and digital I/O for synchronized acquisition with ECG, EEG, temperature, pressure, or other physiological sensors
Trigger Modes Pre-trigger, post-trigger, and loop-buffer recording with IR/NIR camera support
Remote Control HTTP/HTTPS-based web interface (RESTful endpoints)
Operating System Windows 10/11 (64-bit), Windows Server 2019/2022

Overview

Norpix StreamPix is a high-fidelity, multi-modal digital video acquisition and synchronization platform engineered for rigorous preclinical behavioral and physiological research involving rodents—including mice, rats, and other small laboratory mammals. Built on a deterministic real-time architecture, StreamPix implements precise frame-level timestamping and hardware-synchronized triggering to ensure temporal fidelity between visual data and concurrent physiological signals. Its core functionality leverages standardized machine vision protocols—including GigE Vision, USB3 Vision, Camera Link, and CoaXPress—to abstract low-level camera control while preserving sub-millisecond timing accuracy. Unlike general-purpose video tools, StreamPix is architected specifically for scientific reproducibility: every frame carries embedded UTC-synchronized timestamps, and all acquisition parameters—including exposure time, gain, ROI, and trigger latency—are logged immutably alongside raw video streams. This ensures full traceability required under GLP-compliant study protocols and supports retrospective audit of experimental conditions.

Key Features

  • Multi-Camera, Multi-Node Acquisition: Configure and control up to 64 cameras across multiple networked Windows workstations—each node independently managed yet globally synchronized via PTPv2 (IEEE 1588) or external hardware triggers.
  • Cross-Protocol Hardware Abstraction: Native integration with over 200 camera and frame grabber models through vendor-certified SDKs (e.g., FLIR Spinnaker, Basler pylon, Teledyne DALSA Sapera, National Instruments IMAQdx), eliminating driver conflicts and ensuring deterministic buffer management.
  • Physiological Signal Synchronization: Accepts TTL, analog voltage (±10 V), and digital edge signals via isolated BNC or screw-terminal I/O modules; aligns sensor timestamps to video frames with ≤10 µs jitter using onboard FPGA-based timestamp injection.
  • Efficient IR/NIR Workflow Support: Optimized for low-light and thermal imaging applications—supports pre-trigger buffering (up to 60 seconds), loop-record mode, and event-activated clip export to minimize storage overhead without compromising temporal context.
  • Web-Enabled Remote Orchestration: Full acquisition control—including start/stop, parameter adjustment, and clip export—is accessible via HTTPS-secured web interface; integrates with institutional authentication systems (LDAP, Active Directory) and supports role-based access control (RBAC).

Sample Compatibility & Compliance

StreamPix is validated for use in ethologically relevant rodent behavioral assays—including open field, elevated plus maze, Morris water maze, fear conditioning, social interaction, and gait analysis—where spatial resolution, motion fidelity, and temporal alignment with biometric signals are critical. The software meets essential regulatory expectations for data integrity in nonclinical laboratory studies: all configuration files, metadata logs, and video manifests are stored in human-readable XML formats compliant with ISO/IEC 11172-5 (MPEG-2 Systems) and NIH Data Management and Sharing Policy requirements. Audit trails record user actions, system events, and parameter changes with cryptographic hashing; optional integration with electronic lab notebooks (ELNs) enables direct linking of video clips to experimental records. While not FDA-cleared as a medical device, StreamPix conforms to design controls outlined in ISO 13485:2016 Annex A for software used in regulated research environments.

Software & Data Management

StreamPix employs a modular, plugin-driven architecture with separate processes for acquisition, real-time preview, metadata annotation, and post-hoc analysis. Acquired video is saved in lossless or visually lossless codecs (e.g., H.264 High 4:4:4 Predictive, JPEG2000, or uncompressed YUV422) with embedded SMPTE timecode and custom metadata fields (e.g., animal ID, protocol stage, drug administration timestamp). The built-in database engine indexes clips by experiment ID, date, operator, camera ID, and synchronized sensor channel—enabling rapid retrieval via SQL-like queries or hierarchical filtering. Export modules support DICOM-SR (Structured Reporting), NIfTI-1 for neuroimaging pipelines, and HDF5 for computational modeling workflows. All exported datasets include provenance metadata compliant with the FAIR principles (Findable, Accessible, Interoperable, Reusable).

Applications

  • Longitudinal behavioral phenotyping in transgenic mouse models of neurodegeneration or psychiatric disorders
  • Synchronized video-EEG monitoring during seizure induction or sleep staging experiments
  • High-speed kinematic analysis of paw placement and gait dynamics in spinal cord injury recovery studies
  • Thermal stress response assessment using calibrated NIR thermography coupled with core temperature telemetry
  • Automated stimulus-response validation in optogenetic or chemogenetic intervention paradigms

FAQ

Does StreamPix support FDA 21 CFR Part 11 compliance?
Yes—when deployed with optional Digital Signature Module and configured with approved audit trail settings, StreamPix satisfies electronic record and signature requirements for regulated nonclinical studies.
Can video from different camera types be time-aligned within a single timeline?
Yes—using either shared hardware triggers or PTPv2 network synchronization, frames from GigE, USB3, and Camera Link devices are aligned to a common master clock with documented offset correction.
Is third-party API access available for custom behavioral scoring algorithms?
Yes—the StreamPix SDK provides C++ and .NET bindings for programmatic control, frame-level callback registration, and metadata injection; Python wrappers are community-supported via PyPI.
What storage architectures are recommended for large-scale longitudinal studies?
RAID 6 or ZFS-based NAS with SMB 3.1.1 or NFSv4.2 connectivity is validated; metadata-aware deduplication and tiered storage policies are configurable via the StreamPix Storage Manager.
How is calibration handled for multi-camera 3D pose estimation setups?
StreamPix exports intrinsic/extrinsic parameters and timestamped frame sequences compatible with OpenCV, DeepLabCut, and SLEAP calibration pipelines; stereo rectification matrices can be imported directly.

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