
behavior PARADIGM/test
Corner Test
The Corner Test is a critical behavioral paradigm utilized in neuroscience to detect sensorimotor impairments and lateralized deficits in rodent models. The procedure involves placing a subject within a specialized apparatus to observe its turning behavior upon reaching a corner, which serves as a sensitive measure of neurological symmetry and postural stability. Preferential turning or significant asymmetry often indicates focal brain injury, such as that seen in stroke or traumatic brain injury studies, where motor coordination and sensory integration are compromised.Â
Clever Sys offers a sophisticated automated Corner Test system that leverages high-speed video acquisition and advanced computer vision to quantify every turn with unmatched precision. This high-throughput solution eliminates the variability associated with manual observation, ensuring objective data collection and rigorous preclinical compliance. By automating the detection of postural nuances and turn angles, our platform empowers researchers to generate reproducible, publication-quality insights into treatment efficacy and neuroprotection.
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Automated Analytics:Â Â Advanced heading direction algorithm removes subjective bias during Corner test.
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Advanced Features:Â Â Â Â Â Accurate Corner Turn Detection and Judging.Â
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Validated Precision:Â Â Â Â Used by top scientists to meet preclinical compliance and produce robust, verifiable research data.


Traditional Methods


Manual Scoring

Observer Bias

Basic Insights
Time-ConsumingÂ
Clever Sys AI


Fully Automated

Objective & Precise

Deep Data Analytics
Real-Time Analysis and Instant Results

Advanced Behavioral Insights
Automating the Corner Test through Clever Sys removes human inconsistencies and scoring bias. Neuroscience experts use our tech to map the biological drivers of sensorimotor deficits and asymmetry with incredible speed. By processing complex turning data instantly, our platform generates the objective evidence required for rigorous preclinical compliance and successful drug development workflows for the central nervous system.
Tech Details
• Platform:    Win 11/10
• Software:   TopScan(with Licenses for Corresponding Modules)
• Hardware:  Corner Test Apparatus

Optimized Windows Software
Proven Academic Trust
Our technology represents the industry benchmark for automated behavior testing. Scientific teams across the globe have published findings based on Clever Sys tech, adhering to strict preclinical compliance protocols while ensuring the highest level of data integrity and objectivity within prestigious international journals.
Publications
See high-fidelity AI-Powered Corner Test Analysis in action: capturing exploration with sub-second precision to maintain rigorous preclinical standards.
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Aron, L., Ngian, Z.K., Qiu, C. et al. Lithium deficiency and the onset of Alzheimer’s disease. Nature 645, 712–721 (2025). https://doi.org/10.1038/s41586-025-09335-x.Â
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Tian Z, Song J, Zhao X, Zhou Y, Chen X, Le Q, Wang F, Ma L, Liu X. The interhemispheric amygdala-accumbens circuit encodes negative valence in mice. Science. 2024 Nov 8;386(6722):eadp7520. doi: 10.1126/science.adp7520. Epub 2024 Nov 8. PMID:39509508.
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Escamilla CO, Filonova I, Walker AK, Xuan ZX, Holehonnur R, Espinosa F, Liu S, Thyme SB, López-GarcÃa IA, Mendoza DB, Usui N, Ellegood J, Eisch AJ, Konopka G, Lerch JP, Schier AF, Speed HE, Powell CM. Kctd13 deletion reduces synaptic transmission via increased RhoA. Nature. 2017 Nov 9;551(7679):227-231. doi: 10.1038/nature24470. Epub 2017 Nov 1. PMID: 29088697; PMCID: PMC5787033.
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Precision Analytics
High-resolution tracking engines delivering granular spatial data for complex behavioral phenotyping.

Instant Data Access
Dynamic processing enables immediate visualization and rapid validation of experimental trial flows.

Preclinical Compliance
Engineered to satisfy rigorous regulatory mandates for reproducible and valid preclinical research.

Seamless Integration
Modular architecture ensures interoperability with established lab infrastructure and data pipelines.
