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Centrifugation

Centrifuge Rotors: To Choose and to Maintain

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Introduction

Centrifugation is a laboratory technique routinely used to fractionate a given liquid mixture into single components. The basis of the technique is the application of centripetal forces to a sample by spinning it at high velocity.

As a consequence, a centrifugal force originates in the opposite direction. A detailed description of the fundamental principles of centrifugation can be found in our article on centrifugation.

The equilibrium between the two forces, together with the size and density of the particles in the solution, determines the extension of particle migration, in such a way that it is dependent on the tube position in the centrifuge’s rotor (Figure 1).

centrifuge rotor and sample positioning

Figure 1: Schematic representation of a centrifuge rotor and sample positioning before and after centrifugation (image credit: fisherscientific).

Different centrifuges are available on the market, specifically designed for certain applications. In general, centrifuges are sold with a range of accessories, that can be used depending on the goal of a particular centrifugation protocol.

The centrifuge rotor is an essential element of the device, which determines not only the sample size but also how the particles migrate and distribute in solution after centrifugation. Some centrifuges come with more than one rotor, widening the scope of their applications (Figure 2). Older centrifuges, however, are sold with only one undetachable rotor (Biocompare, 2019).

In this article, you will learn about the different centrifuge rotors, how to choose between the myriad of market offers, and how to properly maintain them, to assure a functional, accurate, and long-lived centrifuge in your laboratory.

A multipurpose high-speed refrigerated centrifuge

Figure 2: A multipurpose high-speed refrigerated centrifuge with a wide range of rotors, buckets, and adaptors (image credit: Labogene)

Rotor Types

Depending on the application, the centrifugal forces generated in laboratory centrifuges can vary from a few hundred g up to 1 000 000 × g (Biocompare, 2019).

Accordingly, centrifuge rotors are made from different materials.  Low-speed rotors are usually made of steel or brass, while high-speed rotors consist of aluminum, titanium, or fiber-reinforced composites. The exterior of specific rotors might be finished with protective paints.

For example, rotors for ultracentrifugation made out of titanium alloy are covered with a polyurethane layer and aluminum rotors are protected from corrosion by a tough, electrochemically formed layer of aluminum oxide (Table 1) (Ohlendieck & Harding, 2017).

Table 1: Comparison of rotor materials

Aluminum Titanium Carbon Fiber
Highly susceptible to acid, alkali, or salt corrosion
Moderately susceptible to acid, alkali, or salt corrosion
(1) Corrosion-free (2) No deration due to high strength to weight ratio of rotor materials
Anodizing may lead to stress corrosion
May require deration due to repeated run cycles
(1) No stretching or elongation during centrifugation (2) Lightweight
Heavy material; uses increased energy to spin
Heavy material; uses increased energy to spin
(1) Heat insulating maintains sample temperature (2) Environmentally-friendly production process

Griffith O.M., in Practical Techniques for Centrifugal Separations, by ThermoFischer)

For a wide range of routine applications, the standard benchtop and clinical centrifuges may present one of the following types of rotors (Ohlendieck & Harding, 2017):

Multiple Container Rotors

1. Swinging-bucket rotors

Available for purchase here. During centrifugation, the rotor buckets swing out in the same direction of the centrifugal force, elevating the sample up to 90º relative to the rotation axis (Figure 3).

This type of rotor is mainly used for rate zonal centrifugation, i.e., to separate particles as a function of their size and density, in which the maximum resolution in particle separation is needed (Ohlendieck, 2017).

Swinging-bucket rotors are also suitable for isopycnic centrifugation, i.e., separation based on density only. However, to attain maximum particle separation, the centrifugation process may be too time-consuming. 

Given that during centrifugation, tubes reach a 90ºC angle, the overall particle migration distance is higher than in fixed-angle rotors. As particles with small sizes migrate to the complete extension of the sample tube, the time to reach the tube bottom is higher than fixed-angle or vertical-tube rotors.

Advantages: Higher separation resolution; adaptable to different sample containers and volumes (e.g., plates, 15mL tubes, 50 mL tubes and bottles)

Disadvantages: Longer centrifugation times; lower number of tubes per run than fixed-angle rotors

swinging bucket rotor

Figure 3: (A) example of a swinging-bucket rotor (image credit: Beckman Coulter Life Sciences); (B) Schematic representation of the centrifugal field and particle movement in swinging-bucket rotors (image credit: microbionotes).

2. Fixed-angle rotors

Available for purchase here. Tubes are held in a fixed position (usually 45º) relative to the rotational axis. Because of that, particles migrate in a downward spiral manner, and sediment in the bottom of the tube. Smaller rotor angles result in more diffuse sediment (pellet). 

Fixed-angle rotors are suitable for the fractionation of samples in which the sedimentation rates of the different components differ significantly, such as the separation of cellular components like mitochondria, cell nuclei, and cytoplasmic content (Ohlendieck & Harding, 2017).

Advantages:

  • Fixed-angle rotors usually accommodate a higher number of samples than swing-bucket rotors, which makes them more suitable for high throughput applications;
  • Because of the rigid design of the metal alloy material, fixed rotors can resist much higher gravitational forces, with minimum metal stress, which are used for the separation of biological macromolecules such as RNA, DNA, and protein.

Disadvantages:

  • Fixed vessel capacity;
  • Impossible to adapt different sample containers than the ones provided by the rotor by default.
fixed angle rotor

Figure 3: (A) example of a fixed-angle rotor (image credit: Beckman Coulter Life Sciences); (B) Schematic representation of the centrifugal field and particle movement in swinging-bucket rotors (image credit: microbionotes).

3. Vertical rotors and near-vertical rotors

Tubes are held between 0º – 9º from the axis of rotation, which represents the shortest radial distance, and therefore the shortest pathlength for particles during centrifugation. In vertical and near-vertical rotors, particles sediment throughout the wall of the tube. Due to the shorter radial distance, centrifugation time is reduced, which may be important for certain biological samples.

However, the particle separation resolution is significantly reduced: during centrifugation, particles sediment through the tube wall, however, when the rotor deaccelerates and stops, the sedimented particles fall off the tube wall and contaminate the separated sample zones (Griffith, 2010; Ohlendieck & Harding, 2017).

Advantages: Shorter run times.

Disadvantages: Low particle separation resolution.

vertical rotor

Figure 3: (A) example of a vertical rotor; (B) example of a near-vertical rotor (image credit: Beckman Coulter Life Sciences); C. Schematic representation of the centrifugal field and particle movement in swinging-bucket rotors (image credit: microbionotes).

Sample orientation in Swinging-bucket, fixed-angle and vertical-tube rotors

Figure 4: Sample orientation in Swinging-bucket, fixed-angle, and vertical-tube rotors (image credit: Griffith O.M., in Practical Techniques for Centrifugal Separations, by ThermoFischer)

Continuous Flow (“hollow”) Rotors

1. Continuous-flow rotors

They are used to process large volumes of samples with high centrifugal forces, in a less time-consuming manner, as their use avoids start-and-stop to consecutively decant the supernatant. This type of rotor is used to recover large volumes of biological components such as viruses, mitochondria, bacteria, and algae.

Advantages:

  • Reduced centrifugation time due to short radial distance, and hence, short pathlength;
  • The sample is loaded in a stream on the rotor, which facilitates the flow of the material;
  • A large volume of samples is allowed, which also contributes to the reduced centrifugation time.

Disadvantages:

  • Long accelerating/de-accelerating times. This may be problematic when the sample stream is highly enriched in the solid component, which makes the rotor “over-efficient”. This means that when there is too much solid component in the sample, the rotor fills up too quickly. This requires the rotor to be stopped to unload the pellet, and then to be restarted to resume the centrifugation of the rest of the sample. Therefore, when using continuous-flow centrifugation, the solid/liquid ratio must be kept between 5 – 15% (Beckman Coulter);
  • Does not allow gradient centrifugation;
  • Equipment cost – highly expensive.

2. Zonal rotors

They are similar to continuous flow rotors but suitable for differential centrifugation, as they allow for density gradient solutions to be loaded prior to the target solution (Plüisch, Bössenecker, Doblera, & Wittemann, 2019; Spragg, 1978).  

Zonal rotors are used for large-scale zonal centrifugation, recovering the sample components as bands in a gradient.

Advantages:

  • Sample loading and recovery without the need to stop the rotor, significantly decreasing the centrifugation time compared to continuous-flow rotors;
  • Suitable for differential (rate-zonal and isopycnic) centrifugation and sample fractionation.

Disadvantages:

  • The gradient tends to swirl as it reorients when the rotor is stopped;
  • Equipment cost – highly expensive
zonal rotor
A
Zonal rotor centrifugation
B

Figure 4 (A) Example of a zonal rotor (image credit: Beckman Coulter Life Sciences); (B) Zonal rotor centrifugation: a density gradient is introduced at the edge of a hollow rotor, while it is spinning at reduced speed. Loading starts with the lightest portion of the gradient first, followed by layers of increasing densities.

Once the gradient fills the rotor completely, the sample suspension is introduced at the rotor core as the last material loaded. Separation is accomplished by sorting the particles according to their sedimentation coefficients.

At the end of the centrifuge run, the rotor speed is reduced and its content is displaced out through the center exit by pumping a sufficiently dense solution into the edge line. Suspensions of sorted nanoparticles can be picked up using a fraction collector system (Plüisch et al., 2019).

3. Airfuge rotors

They are specially designed for pelleting small particles such as viruses and proteins. The rotor is supplied and driven by a pressurized air source. Rotor speed can be determined by the conversion of the applied air pressure to rotations per minute (rpm). 

Importantly, the deceleration process is very slow to avoid a mixture of the sample components. Airfuge rotors are held in place by a pressure differential created by the applied centrifugation force, which makes these rotors extremely safe. Furthermore, in Airfuge centrifuges, a filter is supplied with the ultracentrifuge for water and oil removal from the air supply.

Advantages:

  • Suitable for the separation of extremely small particles, such as cell components and virus
  • Increased safety when compared to all other centrifuge types, due to the pressure differential that is generated by the air source.

Disadvantages:

  • Limited vessel capacity and limited sample volume (up to a few milliliters)

Special Maintenance:

  • The filter must be replaced regularly.

4. Analytical Ultracentrifuge (AUC) Rotors

Analytical ultracentrifugation combines high-speed centrifugation with optical detection systems to observe particle separation in real-time. Therefore, AUC rotors must allow light to reach the sample.

Advantages:

  • Possibility to follow particle separation and to acquire data (such as sedimentation rate, particle size, etc.) in real-time

Disadvantages:

  • Limited vessel capacity and limited sample volume
  • Equipment cost – highly expensive
analytical ultracentrifugation rotor

Figure 5: (A). Example of an analytical ultracentrifugation rotor (image credit: Beckman Coulter Life Sciences); (B). Schematic representation of the centrifugal field and particle movement in swinging-bucket rotors (image credit: Institute of Molecular Biophysics, Florida State University).

5. Elutriation rotors

They are designed to concentrate monodisperse solutions of single cells or particles, according to their size. Elutriation rotors combine centrifugal force and fluid velocity, two forces that affect particle migration. Centrifugal force drives articles away from the rotational axis, while fluid velocity drives them in the opposite direction – counterflow elutriation (Figure 6).

Advantages:

  • Cell recovery with high viability
  • Separated cells can be used further
  • Not time-consuming

Disadvantages:

  • It does not allow for differential cell separation, i.e., cells with different properties but similar sedimentation rates will migrate to the same gradient phase. Therefore, to perform cell-type separation, previous purification processes are necessary;
  • Equipment cost – highly expensive
elutriation rotor
A
Cell separation using counter current elutriation
B

Figure 6: An example of an elutriation rotor (image credit: Beckman Coulter Life Sciences); B. Cell separation using counter-current elutriation. (A) Cells are fed into a spinning rotor, where the centrifugal force is balanced by a counter-directed buffer flow. (B) Depending on size, cells are differentially affected by the centrifugal force and separation occurs. (C) By slowly increasing the flow rate, fractions of cells of well-defined sizes can be recovered. Image credit: (Thorén, 2007).

General Guidance for the Maintenance of Centrifuge Rotors

(Goodman, 2007)

Rotor care and maintenance are essential for ensuring the safety and longevity of rotors and centrifuges. In general, the same maintenance and care principles apply to all of the rotors mentioned in this article.

  • Samples must be properly equilibrated, when loading;
  • Store in a dry place, in an inverted position to avoid moisture accumulation in the sample holes;
  • Cleaning with non-abrasive detergents;
  • Sterilization via UV light may be necessary when samples include live cells, bacteria or virus;
  • Regular maintenance by a certified technician required;
  • The operator(s) must follow the manufacturer’s manual for other specific instructions on the care and maintenance of the acquired rotor.

Final Words

The key component of centrifuges is the rotor, which determines the sample volume and the type of particle separation. Nowadays, there are, in the market, several options that allow the researcher to choose the optimal rotor, suitable for specific applications.

The main disadvantages of certain types of rotors are the limited sample capacity and, in some cases, the elevated cost. Therefore, it is important to keep appropriate care and maintenance, to ensure a proper long-lived functional device.

References

  1. (2019). Laboratory Centrifuges. Retrieved November, 2019, from https://www.biocompare.com/Lab-Equipment/Laboratory-Centrifuges/
  2. Coulter, B. Continuous Flow Rotors. 2020, from https://beckman.com/centrifuges/rotors/continuous-flow
  3. Goodman, T. (2007). Centrifuge Rotor Selection and Maintenance. American Laboratory.
  4. Griffith, O. M. (2010). Practical Techniques for Centrifugal Separations – Application Guide.
  5. Ohlendieck, K., & Harding, S. E. (2017). Centrifugation and Ultracentrifugation.
  6. Plüisch, C. S., Bössenecker, B., Doblera, L., & Wittemann, A. (2019). Zonal rotor centrifugation revisited: new horizons in sorting nanoparticles. RSC Advances(47).
  7. Spragg, S. P. (1978). Centrifugal Separations in Molecular and Cell Biology. London: Butterworths.
  8. Thorén, F. B. (2007). Oxidant-induced cell death in lymphocytes – mechanisms of induction and resistance. (Doctoral Thesis), Goteborg University, Institute of Biomedicine, Department of Infectious Medicine.

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Introduction

In behavioral neuroscience, the Open Field Test (OFT) remains one of the most widely used assays to evaluate rodent models of affect, cognition, and motivation. It provides a non-invasive framework for examining how animals respond to novelty, stress, and pharmacological or environmental manipulations. Among the test’s core metrics, the percentage of time spent in the center zone offers a uniquely normalized and sensitive measure of an animal’s emotional reactivity and willingness to engage with a potentially risky environment.

This metric is calculated as the proportion of time spent in the central area of the arena—typically the inner 25%—relative to the entire session duration. By normalizing this value, researchers gain a behaviorally informative variable that is resilient to fluctuations in session length or overall movement levels. This makes it especially valuable in comparative analyses, longitudinal monitoring, and cross-model validation.

Unlike raw center duration, which can be affected by trial design inconsistencies, the percentage-based measure enables clearer comparisons across animals, treatments, and conditions. It plays a key role in identifying trait anxiety, avoidance behavior, risk-taking tendencies, and environmental adaptation, making it indispensable in both basic and translational research contexts.

Whereas simple center duration provides absolute time, the percentage-based metric introduces greater interpretability and reproducibility, especially when comparing different animal models, treatment conditions, or experimental setups. It is particularly effective for quantifying avoidance behaviors, risk assessment strategies, and trait anxiety profiles in both acute and longitudinal designs.

What Does Percentage of Time in the Centre Measure?

This metric reflects the relative amount of time an animal chooses to spend in the open, exposed portion of the arena—typically defined as the inner 25% of a square or circular enclosure. Because rodents innately prefer the periphery (thigmotaxis), time in the center is inversely associated with anxiety-like behavior. As such, this percentage is considered a sensitive, normalized index of:

  • Exploratory drive vs. risk aversion: High center time reflects an animal’s willingness to engage with uncertain or exposed environments, often indicative of lower anxiety and a stronger intrinsic drive to explore. These animals are more likely to exhibit flexible, information-gathering behaviors. On the other hand, animals that spend little time in the center display a strong bias toward the safety of the perimeter, indicative of a defensive behavioral state or trait-level risk aversion. This dichotomy helps distinguish adaptive exploration from fear-driven avoidance.

  • Emotional reactivity: Fluctuations in center time percentage serve as a sensitive behavioral proxy for changes in emotional state. In stress-prone or trauma-exposed animals, decreased center engagement may reflect hypervigilance or fear generalization, while a sudden increase might indicate emotional blunting or impaired threat appraisal. The metric is also responsive to acute stressors, environmental perturbations, or pharmacological interventions that impact affective regulation.

  • Behavioral confidence and adaptation: Repeated exposure to the same environment typically leads to reduced novelty-induced anxiety and increased behavioral flexibility. A rising trend in center time percentage across trials suggests successful habituation, reduced threat perception, and greater confidence in navigating open spaces. Conversely, a stable or declining trend may indicate behavioral rigidity or chronic stress effects.

  • Pharmacological or genetic modulation: The percentage of time in the center is widely used to evaluate the effects of pharmacological treatments and genetic modifications that influence anxiety-related circuits. Anxiolytic agents—including benzodiazepines, SSRIs, and cannabinoid agonists—reliably increase center occupancy, providing a robust behavioral endpoint in preclinical drug trials. Similarly, genetic models targeting serotonin receptors, GABAergic tone, or HPA axis function often show distinct patterns of center preference, offering translational insights into psychiatric vulnerability and resilience.

Critically, because this metric is normalized by session duration, it accommodates variability in activity levels or testing conditions. This makes it especially suitable for comparing across individuals, treatment groups, or timepoints in longitudinal studies.

A high percentage of center time indicates reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance. reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance.

Behavioral Significance and Neuroscientific Context

1. Emotional State and Trait Anxiety

The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity, where animals exhibit persistent avoidance of the center due to heightened emotional reactivity. This metric can also distinguish between acute anxiety responses and enduring trait anxiety, especially in longitudinal or developmental studies. Its normalized nature makes it ideal for comparing across cohorts with variable locomotor profiles, helping researchers detect true affective changes rather than activity-based confounds.

2. Exploration Strategies and Cognitive Engagement

Rodents that spend more time in the center zone typically exhibit broader and more flexible exploration strategies. This behavior reflects not only reduced anxiety but also cognitive engagement and environmental curiosity. High center percentage is associated with robust spatial learning, attentional scanning, and memory encoding functions, supported by coordinated activation in the prefrontal cortex, hippocampus, and basal forebrain. In contrast, reduced center engagement may signal spatial rigidity, attentional narrowing, or cognitive withdrawal, particularly in models of neurodegeneration or aging.

3. Pharmacological Responsiveness

The open field test remains one of the most widely accepted platforms for testing anxiolytic and psychotropic drugs. The percentage of center time reliably increases following administration of anxiolytic agents such as benzodiazepines, SSRIs, and GABA-A receptor agonists. This metric serves as a sensitive and reproducible endpoint in preclinical dose-finding studies, mechanistic pharmacology, and compound screening pipelines. It also aids in differentiating true anxiolytic effects from sedation or motor suppression by integrating with other behavioral parameters like distance traveled and entry count (Prut & Belzung, 2003).

4. Sex Differences and Hormonal Modulation

Sex-based differences in emotional regulation often manifest in open field behavior, with female rodents generally exhibiting higher variability in center zone metrics due to hormonal cycling. For example, estrogen has been shown to facilitate exploratory behavior and increase center occupancy, while progesterone and stress-induced corticosterone often reduce it. Studies involving gonadectomy, hormone replacement, or sex-specific genetic knockouts use this metric to quantify the impact of endocrine factors on anxiety and exploratory behavior. As such, it remains a vital tool for dissecting sex-dependent neurobehavioral dynamics.
The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity. Because it is normalized, this metric is especially helpful for distinguishing between genuine avoidance and low general activity.

Methodological Considerations

  • Zone Definition: Accurately defining the center zone is critical for reliable and reproducible data. In most open field arenas, the center zone constitutes approximately 25% of the total area, centrally located and evenly distanced from the walls. Software-based segmentation tools enhance precision and ensure consistency across trials and experiments. Deviations in zone parameters—whether due to arena geometry or tracking inconsistencies—can result in skewed data, especially when calculating percentages.

     

  • Trial Duration: Trials typically last between 5 to 10 minutes. The percentage of time in the center must be normalized to total trial duration to maintain comparability across animals and experimental groups. Longer trials may lead to fatigue, boredom, or habituation effects that artificially reduce exploratory behavior, while overly short trials may not capture full behavioral repertoires or response to novel stimuli.

     

  • Handling and Habituation: Variability in pre-test handling can introduce confounds, particularly through stress-induced hypoactivity or hyperactivity. Standardized handling routines—including gentle, consistent human interaction in the days leading up to testing—reduce variability. Habituation to the testing room and apparatus prior to data collection helps animals engage in more representative exploratory behavior, minimizing novelty-induced freezing or erratic movement.

     

  • Tracking Accuracy: High-resolution tracking systems should be validated for accurate, real-time detection of full-body center entries and sustained occupancy. The system should distinguish between full zone occupancy and transient overlaps or partial body entries that do not reflect true exploratory behavior. Poor tracking fidelity or lag can produce significant measurement error in percentage calculations.

     

  • Environmental Control: Uniformity in environmental conditions is essential. Lighting should be evenly diffused to avoid shadow bias, and noise should be minimized to prevent stress-induced variability. The arena must be cleaned between trials using odor-neutral solutions to eliminate scent trails or pheromone cues that may affect zone preference. Any variation in these conditions can introduce systematic bias in center zone behavior. Use consistent definitions of the center zone (commonly 25% of total area) to allow valid comparisons. Software-based segmentation enhances spatial precision.

Interpretation with Complementary Metrics

Temporal Dynamics of Center Occupancy

Evaluating how center time evolves across the duration of a session—divided into early, middle, and late thirds—provides insight into behavioral transitions and adaptive responses. Animals may begin by avoiding the center, only to gradually increase center time as they habituate to the environment. Conversely, persistently low center time across the session can signal prolonged anxiety, fear generalization, or a trait-like avoidance phenotype.

Cross-Paradigm Correlation

To validate the significance of center time percentage, it should be examined alongside results from other anxiety-related tests such as the Elevated Plus Maze, Light-Dark Box, or Novelty Suppressed Feeding. Concordance across paradigms supports the reliability of center time as a trait marker, while discordance may indicate task-specific reactivity or behavioral dissociation.

Behavioral Microstructure Analysis

When paired with high-resolution scoring of behavioral events such as rearing, grooming, defecation, or immobility, center time offers a richer view of the animal’s internal state. For example, an animal that spends substantial time in the center while grooming may be coping with mild stress, while another that remains immobile in the periphery may be experiencing more severe anxiety. Microstructure analysis aids in decoding the complexity behind spatial behavior.

Inter-individual Variability and Subgroup Classification

Animals naturally vary in their exploratory style. By analyzing percentage of center time across subjects, researchers can identify behavioral subgroups—such as consistently bold individuals who frequently explore the center versus cautious animals that remain along the periphery. These classifications can be used to examine predictors of drug response, resilience to stress, or vulnerability to neuropsychiatric disorders.

Machine Learning-Based Behavioral Clustering

In studies with large cohorts or multiple behavioral variables, machine learning techniques such as hierarchical clustering or principal component analysis can incorporate center time percentage to discover novel phenotypic groupings. These data-driven approaches help uncover latent dimensions of behavior that may not be visible through univariate analyses alone.

Total Distance Traveled

Total locomotion helps contextualize center time. Low percentage values in animals with minimal movement may reflect sedation or fatigue, while similar values in high-mobility subjects suggest deliberate avoidance. This metric helps distinguish emotional versus motor causes of low center engagement.

Number of Center Entries

This measure indicates how often the animal initiates exploration of the center zone. When combined with percentage of time, it differentiates between frequent but brief visits (indicative of anxiety or impulsivity) versus fewer but sustained center engagements (suggesting comfort and behavioral confidence).

Latency to First Center Entry

The delay before the first center entry reflects initial threat appraisal. Longer latencies may be associated with heightened fear or low motivation, while shorter latencies are typically linked to exploratory drive or low anxiety.

Thigmotaxis Time

Time spent hugging the walls offers a spatial counterbalance to center metrics. High thigmotaxis and low center time jointly support an interpretation of strong avoidance behavior. This inverse relationship helps triangulate affective and motivational states.

Applications in Translational Research

  • Drug Discovery: The percentage of center time is a key behavioral endpoint in the development and screening of anxiolytic, antidepressant, and antipsychotic medications. Its sensitivity to pharmacological modulation makes it particularly valuable in dose-response assessments and in distinguishing therapeutic effects from sedative or locomotor confounds. Repeated trials can also help assess drug tolerance and chronic efficacy over time.
  • Genetic and Neurodevelopmental Modeling: In transgenic and knockout models, altered center percentage provides a behavioral signature of neurodevelopmental abnormalities. This is particularly relevant in the study of autism spectrum disorders, ADHD, fragile X syndrome, and schizophrenia, where subjects often exhibit heightened anxiety, reduced flexibility, or altered environmental engagement.
  • Hormonal and Sex-Based Research: The metric is highly responsive to hormonal fluctuations, including estrous cycle phases, gonadectomy, and hormone replacement therapies. It supports investigations into sex differences in stress reactivity and the behavioral consequences of endocrine disorders or interventions.
  • Environmental Enrichment and Deprivation: Housing conditions significantly influence anxiety-like behavior and exploratory motivation. Animals raised in enriched environments typically show increased center time, indicative of reduced stress and greater behavioral plasticity. Conversely, socially isolated or stimulus-deprived animals often show strong center avoidance.
  • Behavioral Biomarker Development: As a robust and reproducible readout, center time percentage can serve as a behavioral biomarker in longitudinal and interventional studies. It is increasingly used to identify early signs of affective dysregulation or to track the efficacy of neuromodulatory treatments such as optogenetics, chemogenetics, or deep brain stimulation.
  • Personalized Preclinical Models: This measure supports behavioral stratification, allowing researchers to identify high-anxiety or low-anxiety phenotypes before treatment. This enables within-group comparisons and enhances statistical power by accounting for pre-existing behavioral variation. Used to screen anxiolytic agents and distinguish between compounds with sedative vs. anxiolytic profiles.

Enhancing Research Outcomes with Percentage-Based Analysis

By expressing center zone activity as a proportion of total trial time, researchers gain a metric that is resistant to session variability and more readily comparable across time, treatment, and model conditions. This normalized measure enhances reproducibility and statistical power, particularly in multi-cohort or cross-laboratory designs.

For experimental designs aimed at assessing anxiety, exploratory strategy, or affective state, the percentage of time spent in the center offers one of the most robust and interpretable measures available in the Open Field Test.

Explore high-resolution tracking solutions and open field platforms at

References

  • Prut, L., & Belzung, C. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. European Journal of Pharmacology, 463(1–3), 3–33.
  • Seibenhener, M. L., & Wooten, M. C. (2015). Use of the open field maze to measure locomotor and anxiety-like behavior in mice. Journal of Visualized Experiments, (96), e52434.
  • Crawley, J. N. (2007). What’s Wrong With My Mouse? Behavioral Phenotyping of Transgenic and Knockout Mice. Wiley-Liss.
  • Carola, V., D’Olimpio, F., Brunamonti, E., Mangia, F., & Renzi, P. (2002). Evaluation of the elevated plus-maze and open-field tests for the assessment of anxiety-related behavior in inbred mice. Behavioral Brain Research, 134(1–2), 49–57.

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