# Cloud-based High-throughput Acquisition and Analytics of Zebrafish Electrocardiogram for Cardiac Studies and Drug Development

> **NIH NIH R44** · SENSORIIS, INC. · 2021 · $769,421

## Abstract

Project Summary
Sensoriis, Inc is a company that, develops evidence-based sensing solutions to support biological
investigations and address health care problems. The goal of this NIH SBIR Phase II grant with University of
California Irvine is to provide novel systems to assess cardiac electrophysiology in zebrafish models,
supporting heart disease studies and drug screening.
Heart disease plagues the world as the leading cause of mortality. Cardiac arrhythmic diseases alone
contributed about 350,000 deaths annually in the U.S. Although causative genes for some of them have been
partially discovered, genetic basis for the majority remains poorly understood. The zebrafish (Dario rerio)
model system is an important vertebrate experimental model owing to its small size, low-cost for maintenance,
short generation time, amenable and conserved genetics, and optical transparency. Zebrafish have long been
used as model system for understanding human cardiac development, disease, and regeneration. Further,
zebrafish model enables a forward genetic approach to reveal the genetic basis and underlying molecular
mechanisms of numerous heart diseases. Owing to the physiological similarities to humans’, zebrafish have
also proven to be an ideal model system for drug screening.
The conventional setup for cardiac phenotype acquisition in zebrafish (i.e. electrocardiogram – ECG) involves
anesthesia causing variation in functionality. To date, there is no system which can offer cardiac phenotype
monitoring in freely-swimming zebrafish, not to mention for multiple fish simultaneously. Further, data
processing and analysis have been done manually, making it impossible to conduct large-scale studies.
In this context, we propose to establish a long-term roadmap using multidisciplinary approaches to enable i)
novel devices and systems to provide reliable ECG data of multiple fish (both adult fish and larvae) over a long
period of time; ii) cloud-based systems to effectively process and interpret as well as study large-scale data;
and iii) a host of cardiac studies as well as drug investigations using the zebrafish models and our novel tools.

## Key facts

- **NIH application ID:** 10248546
- **Project number:** 5R44OD024874-03
- **Recipient organization:** SENSORIIS, INC.
- **Principal Investigator:** Hung Cao
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $769,421
- **Award type:** 5
- **Project period:** 2018-08-15 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10248546

## Citation

> US National Institutes of Health, RePORTER application 10248546, Cloud-based High-throughput Acquisition and Analytics of Zebrafish Electrocardiogram for Cardiac Studies and Drug Development (5R44OD024874-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10248546. Licensed CC0.

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