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GAIT ANALYSIS System

Product Code:48203

GA.I.T Analysis system by Ugo Basile is a next-generation, fully automated table-top system designed to detect gait alterations in rodent models with unmatched ease of use and almost 100% accuracy in paw detection. Powered by proprietary AI algorithms, it identifies subtle motor, age-related, or pain-related changes that traditional tools might miss, or require extensive manual corrections

The biggest challenge today in automated gait analysis is the correct identification of each paw to calculate all parameters automatically without the need for the scientist to manually check if the software has correctly identified the paws.

Since the Ugo Basile method is not based on classic video-tracking contrast, but on supervised A.I., paw identification is virtually mistake-free. The software automatically manages belly-touching, or other type of artifacts and offers single finger resolution, distinguishing palm centroid and digits even in complex prints.

Numerical analysis of the displayed data is automatically saved and available as a CSV file that can be open in MS Excel.

An extended warranty can be added for most Ugo Basile products. You can find this information in the ordering information section of each product.
To learn more about the extended warranty, CLICK HERE

Background of GAIT ANALYSIS

 

Locomotion is a complex behavior involving the integration of musculoskeletal, neurological and sensory systems to produce coordinated movement. Because of this, gait is a sensitive marker of pain and motor dysfunction, widely used in motor coordination and motor function models, in neurodegenerative models and injury in general, arthritis, pain and aging (Clark et al., 2019; Sayed-Zahid et al., 2019).

 

Early approaches to rodent gait analysis, such as inked footprints on paper, provide only coarse information on stride length and paw placement. No temporal parameter (e.g. duty cycle) is available with non-automated systems. While still used for basic screening, these manual methods lack the resolution and objectivity required to detect subtle or early motor deficits. Rodents, as quadrupeds and prey animals, often mask signs of pain or impairment (Mogil, 2015). Their ability to shift weight between limbs (e.g., compensating for hindlimb injury by loading the forelimbs) can further obscure deficits detectable in bipedal species (Saunders et al., 2017).

 

To overcome these challenges, automated gait analysis systems have become essential in neuroscience, pharmacology and toxicology. These tools offer high-resolution, multi-parameter assessments, such as stance duration, stride variability, and interlimb coordination, captured in a naturalistic, unforced walking environment.

 

GAIT ANALYSIS by Ugo Basile combines AI accuracy and plug & play simplicity. Ready to run, right out of the box with pre-installed AI PC.

 

Traditional gait analysis systems available in the market still show important limitations when it comes to analysis run outcomes. The innovative GAIT ANALYSIS by Ugo Basile is a fully automated table-top system designed to detect gait alterations in rodent models with unmatched ease and accuracy, guaranteeing exact identification of paws, paw digits and other relevant body parts (e.g. head, animal centroid, tail).

 

The system is powered by proprietary AI algorithms that identify even the most subtle gait changes that traditional tools might miss or misidentify. The end result is a huge time-saving and accuracy because no manual paw identification or correction through frame-by-frame manual revision is needed.

 

The mouse is moving freely starting from a transparent box to another one to favour back and forth runs, also thanks to the length and width of the corridor designed for mice, differently than other systems designed for rats also.

 

Once the desired number of comparable runs (i.e. similar speed) has been reached the software will automatically calculate the desired parameters and prompt the next animal.

 

The corridor floor is made of high-quality glass resistant to scratches and easy to clean. Green LEDs on the side of the corridor provide the frustrated total internal reflection (fTIR) effect, which enhances shapes, contact surfaces and pressure, plus all the other temporal and spatial parameters scientists are interested in investigating.

 

The footprints appear bright green regardless of the mouse fur color (Hamers et al. 2001) and give complete flexibility, enabling step dynamics and semi-quantitative assessment of paw pressure (key in Pain Research and not only).

 

Two sliding cages are placed on each side of the corridor, each with its own door. They can be easily attached or removed, allowing smooth, stress-free animal handling.

 

A high frame rate camera is controlled by the software, which handles also background removal (e.g. feces or other artifacts) and detects valid runs automatically in real-time. The results are saved in Excel format directly on the PC.

 

GAIT ANALYSIS by UGO BASILE is a complete plug-and-play package, including:

  • Compact table-top gait device
  • Transparent corridor with aluminum frame
  • High frame rate camera
  • Mirror module
  • Dual lighting system (green LED + red light)
  • Pre-configured AI PC with dedicated AI software
  • Initial training session for lab personnel by Ugo Basile PhD experts
  • On-request additional software training for very complex animal models

 

Its compact design and ease of use make it suitable for any lab bench, even in space-constrained environments.

Features

Benefits

Precise paw and body part identification via AI-trained software Greater accuracy and higher inference speed compared to methods based on contrast. Time saving procedures thanks to tailored AI training. No manual revision needed.
Very high spatial resolution Allows discrimination of single fingers and related parameters
Compact table top system Fits any lab bench. Saves space in your laboratory.
Affordable price Accessible even to laboratories with limited budgets.
Complete package (PC + device + camera + preconfigured software + training) Seamless setup: users can immediately focus on the experiment without worrying about hardware and software settings.
Automatic session mode for runs Automates experimental workflow: researcher sets number of runs, the system selects only the valid ones. Researcher only needs to place the mouse in the corridor and the system handles the rest.
Automation of analysis output Analysis and review are completed in a few minutes by eliminating the time-consuming efforts required by traditional paw manual review.
Integrated camera (GoPro Hero13 Black) Sharp, linear and synchronized images without fish-eye distortion.
Underlying mirror tilted at 45° Simultaneous acquisition of frontal and ventral images; additional parameters are available not only depending on paw placement.

 

Main GA.I.T output parameters

 

SpatialTemporalMixed
Normalized paw intensity *
A parameter obtained by normalising footprint luminance using animal weight and speed.

Intensity Relative Index
Ratio of mean paw intensity FL/FR. Values > 1 indicate greater load on the left forelimb.

Mean intensity
Mean intensity of paw print.

Print area (cm²)
Area of paw print in cm².

Print max width (cm)
Maximum paw print width.

Print max height (cm)
Maximum paw print height.

Stride length (cm)
Distance traveled by paw during stride.

Stride Length Relative
Mean stride length divided by animal body length.

Path efficiency
Body path straightness, 1 = best.

Toe spreading (mm)
Mean distance between digits.

Intermediate toe spreading (mm)
Mean distance between mid digits.

Paw angle (deg) *
The angular deviation of the paw's longitudinal axis from the animal's body axis.

Step Height Relative (Relative base of support - BOS)
Base of support between FL and FR divided by animal body height.

Step height FL-FR (cm)
Vertical distance between Front Left and Front Right paw steps.

Step width FL-FR (cm)
Lateral distance between Front Left and Front Right paw steps.

Step length FL-FR (cm)
Forward distance between Front Left and Front Right paw steps.

Step height FL-HL (cm)
Vertical distance between Front Left and Hind Left paw steps.

Step width FL-HL (cm)
Lateral distance between Front Left and Hind Left paw steps.

Step length FL-HL (cm)
Forward distance between Front Left and Hind Left paw steps.

Step height FL-HR (cm)
Vertical distance between Front Left and Hind Right paw steps.

Step width FL-HR (cm)
Lateral distance between Front Left and Hind Right paw steps.

Step length FL-HR (cm)
Forward distance between Front Left and Hind Right paw steps.

Step height FR-HL (cm)
Vertical distance between Front Right and Hind Left paw steps.

Step width FR-HL (cm)
Lateral distance between Front Right and Hind Left paw steps.

Step length FR-HL (cm)
Forward distance between Front Right and Hind Left paw steps.

Step height FR-HR (cm)
Vertical distance between Front Right and Hind Right paw steps.

Step width FR-HR (cm)
Lateral distance between Front Right and Hind Right paw steps.

Step length FR-HR (cm)
Forward distance between Front Right and Hind Right paw steps.

Step height HL-HR (cm)
Vertical distance between Hind Left and Hind Right paw steps.

Step width HL-HR (cm)
Lateral distance between Hind Left and Hind Right paw steps.

Step length HL-HR (cm)
Forward distance between Hind Left and Hind Right paw steps.

Sciatic Functional Index (SFI)
A quantitative gait analysis metric used in preclinical research to assess motor function and nerve regeneration.

Median body area (cm²)
Median area of the body in cm².

Median body bounding box width (cm)
Median width of body bounding box.

Median body bounding box height (cm)
Median height of body bounding box.

Median tail area (cm²)
Median area of the tail in cm².

Median tail bounding box width (cm)
Median width of tail bounding box.

Median tail bounding box height (cm)
Median height of tail bounding box.
Number of steps
Number of steps by the paw during stance.

Stance time (s)
Duration of stance phase for paw in seconds.

Braking time (s)
Time spent braking by paw.

Propulsion time (s)
Time spent in propulsion phase by paw.

Step cycle time (s)
Time to complete a full step cycle for paw.

Duty cycle (%)
Fraction of time paw is in stance phase.

Velocity-Adjusted Duty Cycle
Duty cycle divided by mean locomotion velocity.

Stride time (s)
Time to complete a stride for paw.

First contact (s)
Time of first contact with ground by paw.

Cadence (hz)
Steps per second of paw.

Max speed variation (%)
Maximum variation in speed during movement.

Intensity cross-correlation score FL-FR
Normalized cross-correlation at lag 0 between FL and FR paw intensities, range [-1, 1].

Intensity cross-correlation score FL-HL
Normalized cross-correlation at lag 0 between FL and HL paw intensities, range [-1, 1].

Intensity cross-correlation score FL-HR
Normalized cross-correlation at lag 0 between FL and HR paw intensities, range [-1, 1].

Intensity cross-correlation score FR-HL
Normalized cross-correlation at lag 0 between FR and HL paw intensities, range [-1, 1].

Intensity cross-correlation score FR-HR
Normalized cross-correlation at lag 0 between FR and HR paw intensities, range [-1, 1].

Intensity cross-correlation score HL-HR
Normalized cross-correlation at lag 0 between HL and HR paw intensities, range [-1, 1].
Velocity (cm/s)
Overall velocity of the animal in cm/s.

Body direction angle (deg)
Angle of the animal's body orientation in degrees.

Mean tail laterality (a.u.)
Average directional preference of tail movements.

Tail flexibility (a.u.)
Degree of tail flexibility in arbitrary units.

* Available soon

Physical

Footprint 69(w) x 56,5(d) cm (does not include PC and 24" monitor)
Total Dimensions 94(w) x 56,5(d) x 45(h) cm
Ventral View Corridor 66,5(w) x 5,5(d) cm
Lateral View Glass Dimensions 66,5(w) x 12,5(d) cm
Lateral Cages Internal Dimensions 12(w) x 8(d) x 8(h) cm
Weight 12 kg

Gait Analysis is a technique with an incredibly broad range of applications. The most common ones include Motor Neurodegenerative Diseases (such as Parkinson’s Disease [PD], Alzheimer’s, Huntington’s and Amyotrophic Lateral Sclerosis [ALS]) and Pain and Inflammation Research, in addition to complex longitudinal studies like the ones object of Aging Research. (Sashindranath et al., 2015; Zhao et al., 2021; Baldwin, 2016).

 

A common use case involves assessing disease progression or therapeutic response through changes in dynamic gait parameters, such as stride length, swing and stance phases, paw placement variability and interlimb coordination. For instance, shortened stride length and increased stance duration are frequently reported in PD, other motor disfunctions, arthritis models, while asymmetric paw pressure and other parameters are indicative of unilateral spinal cord or peripheral nerve injury (Hamers et al., 2006; Kappos et al., 2017). Gait analysis applied longitudinally enables detection of early-stage motor changes before symptoms emerge. This is particularly valuable in aging models and in evaluating analgesic or neuroprotective drug efficacy.

 

Additionally, Ugo Basile system is unique as it simultaneously images ventral and lateral views, which allow for a full range of parameters to be directly measured and not just derived or calculated as in ventral-only system (i.e. all other systems in the market).

48203 GA.I.T Analysis System

48203 Gait Analysis system for mice. Based on AI, includes PC and GoPro Camera.

Clarke, K.A. et al., (1999), "Gait Analysis in the Mouse", Physiology and Behaviorhttps://doi.org/10.1016/S0031-9384(98)00343-6

 

 

Wertman, V. et al. (2020), "Low-Cost Gait Analysis for Behavioral Phenotyping of Mouse Models of Neuromuscular Disease", JoVEdoi: 10.3791/59878

 

 

Clarke, K.A. et al., (2001) "Development and consistency of gait in the mouse"DOI: https://doi.org/10.1016/S0031-9384(01)00444-9

 

 

Amende, I. et al., (2005), "Gait dynamics in mouse models of Parkinson's disease and Huntington's disease", Journal of NeuroEngineering and Rehabilitationhttps://link.springer.com/article/10.1186/1743-0003-2-20

Back to: Motory Coordination

Research insights

Motory coordination in preclinical neuroscience

Motor coordination and balance are sensitive readouts of central and peripheral nervous system integrity. Their measurement is relevant across a broad range of research contexts, including the characterization of motor phenotypes in transgenic or knock-out animals, the assessment of lesions or pharmacological interventions, disease progression monitoring in neurodegenerative models and the detection of age-related motor decline.

Most used paradigms for motor coordination and motor function research

Motor coordination and motor function research uses paradigms designed to challenge balance, coordination, strength, endurance, spontaneous activity and locomotor performance in rodents. The Rotarod paradigm is widely used to assess motor coordination, balance, fatigue resistance and motor learning by measuring the animal’s ability to remain on a rotating rod under fixed-speed, accelerating or more complex protocols.

Grip strength paradigms evaluate neuromuscular strength and grasping force, providing a complementary measure of central and peripheral motor function. Activity monitoring and open-field paradigms are used to assess spontaneous locomotion, exploratory behaviour and activity changes over time, while treadmill paradigms support controlled exercise, fatigue, endurance and rehabilitation studies.

Automated gait analysis paradigms expand motor assessment by quantifying freely moving locomotion, including stride dynamics, paw placement, body axis stability and coordination patterns, making them particularly useful in neurodegenerative, neuromuscular, ageing, lesion and pharmacological intervention models.

Key measured parameters and behavioural readouts in motor coordination and motor function studies

Motor coordination and motor function studies rely on behavioural readouts that quantify balance, strength, endurance, gait, spontaneous activity and locomotor performance. Key measured parameters include latency to fall, time spent on a rotating rod, grip force, fatigue resistance, locomotor activity, distance travelled, speed, stride length, stance and swing time, paw placement, body axis stability, coordination patterns and gait asymmetry.

These readouts help researchers characterize motor impairment, neuromuscular function, disease progression, treatment effects, recovery after injury and age-related motor decline in rodent models. Traditional motor tests such as Rotarod and Grip Strength provide robust measures of coordination and strength, while activity monitoring, treadmill protocols and automated gait analysis expand the assessment to spontaneous movement, endurance and detailed locomotor parameters. Ugo Basile instruments in this area include Rotarod, Grip Strength Meter, Activity Cages/Open Fields, Treadmills and the GA.I.T Analysis System.

Ugo Basile instruments for motor coordination and motor function research

Ugo Basile offers a dedicated portfolio for motor coordination, motor function, neuromuscular performance and spontaneous activity assessment in rodents.

The RotaRod is the gold standard for motor coordination studies, used to evaluate balance, motor learning, fatigue resistance and motor impairment by measuring how long the animal remains on a rotating rod. The Ugo Basile RotaRod is the 1st and original, invented after the Dunham and Miya method (1957) and today has more than 7,200 citations in the literatureis. Is available in mouse, rat and large-rat versions, with constant, accelerating, rocking and complex ramp protocols managed through X-Pad software.

The Balance Beam Walking Test is a sensitive assay for evaluating coordination, balance and fine motor control in mice and is ideal for studying neurodegeneration, injury recovery and sensorimotor learning. The Grip Strength Meter is used to assess neuromuscular strength and grasping force, providing a complementary readout to coordination and balance tests. Activity Cages and Open Field systems support the measurement of spontaneous activity, exploratory behaviour and locomotor changes. Treadmills are used for controlled exercise, fatigue, endurance and motor performance protocols.

For advanced quantitative movement analysis, the GA.I.T Analysis System extends motor assessment to gait dynamics, paw placement, stride parameters and locomotor impairment, supporting applications in neurodegenerative, neuromuscular, ageing and disease models.

The Ugo Basile Climbing Test is an automated system designed to measure vertical climbing movements in mice, providing an ethologically relevant readout for motor function and coordination research. Developed in collaboration with the laboratory of Prof. Sidney Negus at Virginia Commonwealth University, the system was first applied in the pain field to assess pain-depressed behaviour, but its applications extend to motor function, muscle strength, neuromuscular performance, spontaneous activity and disease-related impairment. Since rodents naturally move in a three-dimensional space, the analysis of vertical activity adds a complementary dimension to traditional horizontal activity tests, helping researchers investigate coordination, strength, balance and exploratory drive.

Frequently Asked Questions

What tests are used to assess motor coordination in rodents?

Motor coordination in rodents is commonly assessed using Rotarod, grip strength, gait analysis, , climbing, treadmill, open-field activity and balance-related paradigms. These tests evaluate different aspects of motor function, including coordination, balance, neuromuscular strength, endurance, spontaneous locomotion, gait dynamics and motor impairment.