Grip Strength Test

SKU ME-5602
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$2,900.00
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Precision grip strength measurement system for rodents featuring dual-sized stainless steel plates, 50 N force range, and 0.1g resolution with LED touchscreen display.

Unit: Each
Scientist guidance
Louise Corscadden, PhD, Director of Science

Louise Corscadden, PhD

Director of Science · ConductScience

Ask Louise about Grip Strength Test fit, setup, configuration, or quote prep.

Used in a 2026 paper in the journal Science Advances

The paper found that mice housed at two thirds of Earth’s gravity on the International Space Station maintained their muscle function.

From the methods
Mouse grip strength was tested before and immediately following live animal return using a 50-N capacity grip strength meter (Conduct Science, Skokie, IL, USA). The person performing the grip strength testing was blinded to the experimental conditions during flight.
See all 11 papers citing this product

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Key Specifications

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Model fit
Mouse, Rat
SKU family
ME-5602
Shipping box
33.02 × 33.02 × 17.78 cm
Ordering
Online checkout and quote request available
Category
Behavioral Mazes
Build notes
Stainless Steel
Category: Behavioral Mazes

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ConductVision is our video-tracking software. Record your sessions on video, and it reports the measures listed below.

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§ 1

Introduction

The Grip Strength meter measures neuromuscular function by recording the peak force a rodent applies to a bar or grid before its grip releases. Meyer and colleagues described the routine fore- and hindlimb assessment that remains the basis of modern grip testing in toxicology, muscular dystrophy, aging, and cachexia models. 1

A trial works by letting the animal grasp the bar and then drawing it horizontally and steadily away until the grip breaks; the gauge holds the peak tension. Because the measurement is a maximum voluntary force, it is sensitive to motivation, pull technique, and body size as much as to true strength. 1

Pull speed, pull angle, the number of trials averaged, and body-weight normalization all change the recorded peak force. A defensible protocol fixes the pull technique, pre-defines which pulls are accepted, averages a set number of valid trials, and reports both absolute and body-weight-normalized force. 1

§ 2

Methods

2.1 Procedure

Standardized horizontal-pull testing with accepted-trial rules, trial averaging, and body-weight normalization.

Pre-test setup

  1. 1.Handling and acclimation: Acclimate animals to handling and tail support so the measured pull reflects strength rather than struggling or freezing during restraint.
  2. 2.Calibrate the gauge: Zero and calibrate the force sensor with a known mass before each session and confirm the peak-hold function captures and retains the maximum.
  3. 3.Fix pull technique: Define grip placement, a horizontal pull axis, and a steady pull speed. Upward angles and jerky pulls inflate or deflate peak force.
  4. 4.Set acceptance rules: Decide in advance how many trials are run, how many are averaged, and which pulls are rejected (early release, single-paw grip, assisted pull).

Trial sequence

  1. 1.Present the bar or grid: Allow the animal to grasp the bar (forelimb) or grid (all-limb) firmly with the assigned limbs before any pull begins.
  2. 2.Pull horizontally: Draw the animal steadily backward by the tail base along a horizontal axis until the grip releases, then read the peak tension.1
  3. 3.Classify the trial: Accept the pull only if grip and pull met the pre-defined criteria; reject and repeat early releases or single-limb grips.
  4. 4.Average valid trials: Record the mean of the pre-set number of accepted trials rather than a single maximum, which is noisier and easier to bias.
  5. 5.Normalize and reset: Record body weight, compute body-weight-normalized force, and clean the bar or grid between subjects to remove odor.

Critical methodological constraints

  • Body weight. Absolute force scales with body size, so groups differing in weight must be compared with body-weight-normalized force, not raw grams.2
  • Pull technique. Pull speed and angle strongly affect peak force. A single trained operator and a horizontal, steady pull reduce technique-driven variance.2
  • Trial averaging. Pre-specify the number of accepted trials and average them so the endpoint is stable.
  • Motivation and restraint. Struggling, freezing, or poor tail support change the measured maximum without reflecting muscle strength.

2.2 Measurement & Analysis

Core grip-strength endpoints for neuromuscular function and quality control.

Peak Grip Force

Primary strength endpoint

Maximum tension recorded before grip release, the standard neuromuscular strength readout.1

Body-Weight-Normalized Force

Size-corrected strength

Peak force divided by body weight, required when comparing groups that differ in mass.2

Forelimb vs All-Limb Force

Limb-specific function

Separate forelimb (bar) and combined-limb (grid) measures localize neuromuscular deficits.

Accepted-Trial Rate

Quality-control flag

Fraction of pulls meeting acceptance criteria; a low rate signals technique or motivation problems that invalidate the average.

Trial-Averaged Force

Stable endpoint

Mean of the pre-set number of accepted pulls, more reliable than any single maximum.

+ Additional metrics: body weight, coefficient of variation across trials, pull duration, operator ID, gauge calibration value, and per-session notes.

2.3 accepted-trial rate (analysis)

A compact quality-control fraction of pulls that met the acceptance criteria.

Inline calculator

Type the values your tracker recorded.

Accepted-trial rate

83.3%

Formula: accepted pulls / (accepted pulls + rejected pulls) x 100. A low accepted-trial rate means the averaged peak force is unreliable; review pull technique, restraint, and motivation before interpreting strength differences. 1

2.4 sample-size planning

Estimate the N per group needed to detect a literature-anchored strength effect at the endpoint you plan to report. Override the defaults with your own pilot numbers.

Aged vs young male mouse forelimb pull; representative magnitudes from Takeshita et al. (2017) modified forelimb grip test.4

Cohen's d

1.60

N per group at 80% power

7

Total N

14

With attrition cushion

16

At 70% / 90% power

5 / 9

Methods sentence

Need ANOVA, proportions, paired design, or a power curve? Open in the full Sample-Size Calculator →

Formula: n = 2 · ((zα/2 + zβ) / d)2, where d = |μ₁ − μ₂| / σ. Assumes equal allocation, normality, and homoskedasticity. The attrition cushion inflates total N by 1 / (1 − dropout); confirm with your IACUC.

§ 3

Results

3.1 Sample apparatus output

Representative forelimb grip output averaged over five accepted pulls.

Table 1 · Per-animal Grip Strength scoring output

AnimalGroupBody weightPeak forceNormalizedAccepted rate
GS-001Control28.4 g1.42 N5.10 gf/g83.3%
GS-002Control29.1 g1.48 N5.18 gf/g100%
GS-003Control27.8 g1.39 N5.10 gf/g83.3%
GS-004Wasting24.6 g1.02 N4.23 gf/g71.4%
GS-005Wasting23.9 g0.97 N4.14 gf/g83.3%
GS-006Wasting25.1 g1.06 N4.31 gf/g71.4%

Synthetic example for illustration only. Report both absolute and body-weight-normalized force, and pair with the accepted-trial rate before interpreting strength differences.

§ 4

Discussion

Limitations of the paradigm, methodological caveats, and current directions.

4.1 Common confounds

Variables that can shift Grip Strength results apart from the effect under study.

Body weight

Absolute force scales with body size. Without normalization, a strength difference can simply reflect a weight difference between groups.

Pull technique

Pull speed, angle, and tail support change peak force. A single trained operator and a fixed horizontal pull reduce this variance.

Motivation and restraint

Struggling, freezing, or reluctance to grip lowers measured force without a true neuromuscular deficit.

Trial count

A single maximum is noisy. Averaging a fixed number of accepted pulls gives a more reliable endpoint.

Gauge calibration

An uncalibrated or drifting sensor biases all readings. Calibrate against a known mass each session.

Confound checklist

Tick the confounds your protocol addresses, then export a methods-paragraph blurb you can paste into your manuscript.

Preview exported markdown

4.2 Construct validity caveats

Grip strength is strongest when pull technique, accepted-trial rules, trial averaging, and body-weight normalization are fixed before testing. A single peak force is a screening signal; confirm neuromuscular deficits with normalized force, forelimb-versus-all-limb comparison, and an independent functional measure. 1

4.3 Special considerations

Should I report absolute or normalized force?

Report both. Absolute peak force is the raw measurement, but body-weight-normalized force is what allows fair comparison when groups differ in mass, which is common in disease and aging models.

Forelimb only or all-limb?

Forelimb (bar) testing is the most common and reproducible. Adding an all-limb (grid) pull helps localize whether a deficit is general or limb-specific.

How many trials should I average?

Pre-specify the number, commonly three to five accepted pulls, and average them. Averaging reduces the trial-to-trial noise inherent in a maximum-effort measurement.

4.4 Current directions

Quarterly editorial review of emerging Grip Strength methodology. Q2 2026

Methods

Normalization standards

Reporting body-weight-normalized force alongside absolute force is increasingly expected so strength is not confounded with mass.

Emerging

Digital peak capture

Electronic peak-hold gauges with logging reduce reader bias and make accepted-trial tracking and time-course studies easier.

Methods

Operator standardization

Because technique drives variance, single-operator testing and documented pull protocols improve reproducibility across labs.

Emerging

Multi-assay motor batteries

Grip strength is paired with rotarod, balance beam, and gait analysis to separate strength from coordination and fine motor control.

§ 5

Background references

7 selected methods and validation studies of the Grip Strength, from any lab.

  1. Meyer OA, Tilson HA, Byrd WC, Riley MT. A method for the routine assessment of fore- and hindlimb grip strength of rats and mice. Neurobehav Toxicol. 1979;1(3):233-236. PMID:575054
  2. Maurissen JP, Marable BR, Andrus AK, Stebbins KE. Factors affecting grip strength testing. Neurotoxicol Teratol. 2003;25(5):543-553. doi:10.1016/s0892-0362(03)00073-4
  3. Bonetto A, Andersson DC, Waning DL. Assessment of muscle mass and strength in mice. Bonekey Rep. 2015;4:732. doi:10.1038/bonekey.2015.101
  4. Takeshita H, Yamamoto K, Nozato S, et al. Modified forelimb grip strength test detects aging-associated physiological decline in skeletal muscle function in male mice. Sci Rep. 2017;7:42323. doi:10.1038/srep42323
  5. Deacon RM. Measuring the strength of mice. J Vis Exp. 2013;(76):2610. doi:10.3791/2610
  6. Aartsma-Rus A, van Putten M. Assessing functional performance in the mdx mouse model. J Vis Exp. 2014;(85):51303. doi:10.3791/51303
  7. Brooks SP, Dunnett SB. Tests to assess motor phenotype in mice: a user's guide. Nat Rev Neurosci. 2009;10(7):519-529. doi:10.1038/nrn2652
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