# Multifunctional EPRI Instrument to Advance Therapies in Biomedical Sciences

> **NIH NIH R43** · O2M TECHNOLOGIES, LLC · 2024 · $400,000

## Abstract

Abstract:
Electron paramagnetic resonance imaging (EPRI), where electron spins are the subject of the investigation, is a
promising tool and has the ability to provide maps of multiple tissue microenvironment parameters, such as
partial oxygen pressure (pO2) and pH. However, currently, there is no instrument available that can provide
multi-parametric maps due to very different requirements on the instrument hardware. Current
instrumentation, such as a 25 mT pulse EPRI instrument JIVA-25Ô developed by us, only provides pO2 maps
and does not provide images of other parameters as its hardware does not support the continuous wave (CW)
acquisition methods needed for imaging pH. In the current project, our goal is to develop a multifunctional
imager (MFI) that can perform both pulse and CW acquisition for simultaneous pO2 and pH imaging. Towards
this goal, we will develop a 25 mT Halbach-type permanent magnet (Aim 1), new muli-modal transmit-receive
electronics based on field programmable gate array (FPGA) (Aim 2), and finally, we will build the MFI instrument
(Aim 3). Our long-term goal is to make functional imaging affordable to scientists in biomedical fields to enhance
therapies and understand biology.

## Key facts

- **NIH application ID:** 10919608
- **Project number:** 1R43CA285033-01A1
- **Recipient organization:** O2M TECHNOLOGIES, LLC
- **Principal Investigator:** Mrignayani Kotecha
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $400,000
- **Award type:** 1
- **Project period:** 2024-09-03 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10919608

## Citation

> US National Institutes of Health, RePORTER application 10919608, Multifunctional EPRI Instrument to Advance Therapies in Biomedical Sciences (1R43CA285033-01A1). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10919608. Licensed CC0.

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