# SensiTrak: Automated Assessment of Forelimb Sensation

> **NIH NIH R41** · VULINTUS, LLC · 2021 · $256,364

## Abstract

Project Abstract
In this Phase I STTR project, Vulintus, Inc., in collaboration with Columbia University, proposes
to develop and test ‘SensiTrak,’ an automated, high-throughput behavioral system designed to
finely measure somatosensory function in rodent models. Current common methods for
measuring somatosensory function in rodent models generally rely on withdrawal responses to
uncomfortable or painful stimuli. These tests can be stressful to the animal, while also yielding a
high variability in measured responses, and repetitive testing in longitudinal models may even
result in chronic pain states. To better understand the connection between physiology and
perception of touch and proprioception, researchers need a modern, off-the-shelf assessment
system to administer and quantify trained, volitional behaviors. SensiTrak will meet these needs
by supporting complex, electromechanical feedback interactions with animals, with
interchangeable task modules, behavioral peripherals, and open-source behavioral software.
Phase I work will focus on finalization and bench testing of the SensiTrak prototype design and
validation testing with a rat model of somatosensory-specific impairment.

## Key facts

- **NIH application ID:** 10259383
- **Project number:** 1R41NS120748-01A1
- **Recipient organization:** VULINTUS, LLC
- **Principal Investigator:** Andrew Michael Sloan
- **Activity code:** R41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $256,364
- **Award type:** 1
- **Project period:** 2021-09-01 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10259383

## Citation

> US National Institutes of Health, RePORTER application 10259383, SensiTrak: Automated Assessment of Forelimb Sensation (1R41NS120748-01A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10259383. Licensed CC0.

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