# High-throughput Imaging-integrated Vascular Model for Understanding Thromboembolism and Therapeutics Screening

> **NIH NIH R01** · BRIGHAM AND WOMEN'S HOSPITAL · 2024 · $48,578

## Abstract

In order to accurately determine the volume concentrations of different molecular components of
the vascularized thrombosis organ-on-a-chip models developed in the parent grant, the proposed
supplement application will focus on building and testing a new imaging technology, which can
acquire the experimental absorption spectra of various tissue components. Specifically, Colton
McGarraugh at the Yao lab at Duke University will develop the ‘photoacoustic fingerprinting’
method, which will be used to identify different concentrations of varying molecules by comparing
a variety of different photoacoustic measurements at different wavelengths and their ‘matched’
models in the simulated library. This new technology will have the potential to identify different
proteins and larger molecules in the engineered tissues of the organ-on-a-chip system beyond
hemoglobin, such as fat, proteins, fibrin, platelets, and glucose, and thus will enhance the
technical capabilities of the photoacoustic imaging technology proposed in the parent grant.

## Key facts

- **NIH application ID:** 11014794
- **Project number:** 3R01HL166522-02S1
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Junjie Yao
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $48,578
- **Award type:** 3
- **Project period:** 2024-05-08 → 2026-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11014794

## Citation

> US National Institutes of Health, RePORTER application 11014794, High-throughput Imaging-integrated Vascular Model for Understanding Thromboembolism and Therapeutics Screening (3R01HL166522-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/11014794. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*