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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: Pain and Inflammation

Research insights

Preclinical research in pain and inflammation

Pain affects an estimated 20% of adults worldwide, with millions of new chronic pain cases diagnosed every year. Yet, it remains insufficiently addressed as a major public health issue. Recognizing pain as a complex condition influenced by biological, social and environmental factors is essential to improve research, prevention, treatment and health policies.

Developing safer and more effective pain management strategies requires a deeper understanding of the biological mechanisms underlying pain and inflammation. In this context, preclinical research plays a fundamental role in identifying therapeutic targets, evaluating novel treatments and generating evidence to support translation into clinical practice.

Most used paradigms for pain and inflammation research

Pain and inflammation research uses a combination of evoked and spontaneous paradigms to assess nociception, hypersensitivity, inflammatory responses and pain-related impairment in rodents. Evoked thermal paradigms include plantar stimulation, tail flick, hot/cold plate testing, thermal place preference and thermal gradient assessment, which are used to investigate heat sensitivity, cold sensitivity, thermal hyperalgesia, allodinya and thermal preference or avoidance.

Mechanical paradigms include dynamic plantar stimulation, electronic or manual Von Frey testing, paw pressure testing and direct joint pressure application, supporting the assessment of mechanical allodynia, hyperalgesia and joint hypersensitivity. Spontaneous pain paradigms include weight-bearing asymmetry, postural imbalance, vertical activity and gait or locomotor changes, which are particularly relevant in arthritis, neuropathic pain, bone cancer pain, post-surgical pain and inflammatory models.

Inflammation can also be evaluated as a dedicated endpoint through paw volume and oedema measurement, allowing researchers to quantify experimentally induced swelling and pharmacological treatment effects.

Specific pain conditions like the ones involving the Trigeminal nerve are assessed by dedicated devices for thermal and mechanical stimulation of the animal vibrissae area, during the Orofacial Test.

Key behavioral readouts in pain assessment

Pain and inflammation studies rely on behavioural readouts that quantify nociceptive thresholds, hypersensitivity, inflammatory responses and spontaneous pain-related behaviour. Key measured parameters include paw withdrawal latency after thermal stimulation, tail flick latency, vocalization, jumping, mechanical withdrawal threshold, force threshold, paw volume, oedema, hind paw weight distribution, thermal preference or avoidance, time spent in specific temperature zones, postural asymmetry and pain-related changes in locomotion or vertical activity.

These readouts help researchers assess hyperalgesia, allodynia, inflammatory pain, joint pain, neuropathic pain, post-surgical pain and treatment effects across different rodent models. By combining evoked responses with spontaneous behavioural endpoints, preclinical pain research can capture both stimulus-induced sensitivity and more naturalistic pain-related impairment. Ugo Basile’s pain portfolio includes instruments for thermal, mechanical, inflammatory and spontaneous pain assessment, including Plantar Test, Dynamic Plantar Aesthesiometer, Hot/Cold Plate, Electronic Von Frey, Plethysmometer, Librae Incapacitance Tester and Climbing Test.

Ugo Basile instruments for pain and inflammation research

Since 1963, Ugo Basile has supported pain and inflammation research with instruments designed to measure nociceptive thresholds, hypersensitivity, inflammatory responses and spontaneous pain-related behaviour in rodents.

Ugo Basile offers a complete portfolio of instruments for preclinical pain and inflammation research, covering thermal, mechanical, inflammatory and spontaneous pain-related endpoints.

Ugo Basile devices for thermal stimulation

The Plantar Test is used for thermal hyperalgesia studies through radiant heat stimulation of the hind paw and automatic paw-withdrawal detection. It is the gold standard for Thermal Hyperalgesia tests in unrestrained animals. The Tail Flick measures nociceptive thresholds to infrared heat stimulation of the tail and is especially suited to rapid, reflex-based analgesic screening with possibility to run repeated tests thanks to the lack of learning being the tail flick a reflexive response. The Hot/Cold Plate supports hot and cold sensitivity studies, including constant temperature, ramping and complex temperature protocols, while the Thermal Place Preference and Thermal Gradient Ring allow researchers to evaluate thermal preference and avoidance in freely moving animals. Both systems involve a cognitive component and in fact repeated tests on the same animal are subject to hyper- or hypo- responses due to previous test experience.

Orofacial Stimulation measures hypersensitivity to thermal (hot and cold) and/or mechanical stimulation of the orofacial area in rats (mouse adaptor available) and is used for research into a wide range of pain conditions involving the trigeminal nerve with no need to cut vibrissae.

Ugo Basile devices for evoked mechanical stimulation

For mechanical sensitivity, the Dynamic Plantar Aesthesiometer provides automated force application and paw-withdrawal scoring for mechanical allodynia studies, while the Electronic Von Frey and Von Frey Filaments support mechanical threshold assessment across different force ranges. The PAM – Pressure Application Measurement system is designed for joint pain and arthritis models, enabling direct quantifiable stimulation of rodent joints. However the PAM can also be used with specific applicators for other parts of the body from the paws to the back and spinal chord, etc. Analgesy-Meter is typically used for inflammatory conditions to measure to measure mechanical sensitivity and pain threshold of pressure applied on mic or rat paw for basic or applied research or phenotyping.

Ugo Basile spontaneous pain apparatus

The Climbing Test adds a vertical activity endpoint for spontaneous pain, motor function and activity-related studies. Librae Incapacitance Tester assesses hind paw weight distribution as an objective measure of spontaneous pain. Plethysmometer measures paw volume and oedema.

Frequently Asked Questions

What instruments are used to measure pain in rodents?

Rodent pain can be assessed using different instruments depending on the type of pain response being studied. Thermal pain is commonly measured with plantar stimulation systems, tail flick meters, hot/cold plates, thermal place preference systems and thermal gradient paradigms. Mechanical sensitivity is assessed with dynamic plantar aesthesiometers, electronic Von Frey devices, manual Von Frey filaments, paw pressure systems and joint pressure tools. Spontaneous pain and inflammation can be evaluated through weight-bearing asymmetry, paw volume measurement, gait analysis and activity-based readouts.