Description
Introduction
Traditional methods for analyzing mouse gait involve manual observation and video recording, which are time-consuming and prone to human error. Moreover, these methods often require the physical handling of the mice, which can cause stress and affect their natural behaviors.
There is a clear need for an automated, accurate, and non-invasive method to monitor these animals, which led to the development of the combination of our FTIR walkway with our ConductVision tracking and analysis software.
System Components
Entire System
- The FTIR walkway
- ConductVision gait tracking and analysis software
- Video Tracking camera
- Camera mount
- 24/7 support
FTIR Walkway
The FTIR walkway consists of 6 key components:
- fTIR walkway
- Length: 80cm
- Wall height: 15cm
- Base 5cm
Mirror base length: 78cm - Support Post
- Walkway wall
- 45-degree mirror
- Background backlight
- Walkway wall/post clamp
High-Definition Video Cameras
Our video tracking cameras have the following specifications
- Sensor: Advanced CMOS Photosensitive Chip 1/2.7inch
- Band: 90 degrees, 80 degrees, 70 degrees, 60 degrees, 50 degrees, etc. 41 dB, MJPG format
- Resolution: 1920*1080
- Industrial Grade 2 million Megapixels
- Frame rate: 60 fps
- Monochrome
- C/CS-mount
- Includes: USB2.0 cable
- No software and drivers required
ConductVision Gait Tracking and Analysis Software
ConductVision has been developed with the most stante-of-the-art AI techniques to ensure accurate capture and analysis of high-quality data for the following metrics:
Data Analysis
The fTIR Walkway allows automated recording of motor and locomotion parameter including step patterns, footprint positioning, inter-leg coordination, and footprint contact parameters. The following set of kinematic parameters can be recorded in the fTIR Walkway device and ConductVision combo:
- Speed: instantaneous and average (cm/s)
- Frequency (cycles/s)
- Period (ms)
- Swing speed: average and for individual steps (m/s)
- Step length: average and for individual steps (mm)
- Swing time: average and for individual steps (s)
- Stance time: average and for individual steps (s)
- Duty factor (unitless)
- Anterior extreme position (AEP) (body units)
- Posterior extreme position (PEP) (body units)
- Footprint clustering (AEP and PEP; body units)
- Stance linearity index: average and for individual segments (m)
- Body linearity index (mm)
- Leg combination indexes: no swing, single-leg swing, diagonal-leg swing, lateral-leg swing, front or hind swing, three-leg swing, or all-legs swing (unitless)
- Leg phases: front and hind legs (unitless)
- Footprint pixel intensity (unitless)
- Footprint area (cm2)
Applications:
Neurological Disorders
Parkinson’s Disease (PD)
Gait changes: shuffling steps, reduced stride length, asymmetry
Stroke
Gait changes: unilateral limb weakness, asymmetry
Multiple Sclerosis (MS)
Gait changes: spasticity, ataxia
Amyotrophic Lateral Sclerosis (ALS)
Gait changes: progressive hindlimb weakness
Spinal Cord Injury (SCI)
Gait changes: limb paralysis, recovery progression
Peripheral Neuropathy
Gait changes: foot dragging, altered paw placement
Cerebellar Ataxia
Gait changes: wide-based stance, uncoordinated movement
Musculoskeletal Disorders
Osteoarthritis
Gait changes: limping, reduced weight-bearing
Rheumatoid Arthritis
Gait changes: inflammation-related joint stiffness
Muscular Dystrophy
Gait changes: reduced muscle strength and stride
Pain Models
Inflammatory Pain
Gait changes: altered weight-bearing, paw guarding
Neuropathic Pain
Gait changes: limping, changes in gait cycle
Genetic and Developmental Disorders
Autism Spectrum Disorders (ASD)
Gait changes: subtle motor coordination deficits
Huntington’s Disease
Gait changes: hyperkinetic or hypokinetic movements
Metabolic Disorders
Diabetes Mellitus
Gait changes: diabetic neuropathy impacts gait