# Center for Advanced Imaging Innovation and Research (CAI2R)

> **NIH NIH P41** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $772,877

## Abstract

PROJECT SUMMARY
Competitive Revision to P41 EB017183
 The Center for Advanced Imaging Innovation and Research (CAI2R) pursues a mission of bringing people
together to create new ways of seeing. The work of our Center has been focused on creating new paradigms
for the acquisition, reconstruction, and interpretation of biomedical images, and on implementing new
collaboration models in order to translate these developments rapidly into clinical practice.
 In the proposed Competitive Revision, we will apply our experience in working with biomedical images and
other signals to a new collaboration, aimed at the urgent need for COVID-19 testing.
Parent Grant Summary
 The world of biomedical imaging is changing, and CAI2R has been at the forefront of that change. Tasks
that were once the sole domain of meticulously-engineered imaging hardware are now beginning to be
accomplished in software, increasingly informed by diverse arrays of inexpensive auxiliary sensors. Information
once pursued through the laborious acquisition of carefully separated image datasets is now being derived
from newly integrated, and richly quantitative, data streams. In keeping with these themes, our Center will be
organized around the following four Technology Research and Development (TR&D) projects going forward:
1. Reimagining the Future of Scanning: Intelligent image acquisition, reconstruction, and analysis.
2. Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines.
3. Enriching the Data Stream: MRI and PET in concert.
4. Revealing Microstructure: Biophysical modeling and validation for discovery and clinical care.
Competitive Revision Summary
 With the appearance of COVID-19, the world changed suddenly. The need for definitive but also broadly
available COVID-19 testing is clear, and is identified as a top priority in the Notice of Special Interest (NOT-EB-
20-008) to which this proposal responds. In this project, we will partner with colleagues in chemical
engineering and virology to develop, evaluate, and deploy a new electrochemical device for multifaceted point-
of-care or home-based COVID-19 testing. The device will use molecular surface imprinting to create a gold
surface sensitive to SARS-CoV-2 spike proteins and other analytes of interest. Sensitive solid-state
electronics will then detect the presence of these analytes in patient samples, ultimately allowing rapid and
simultaneous assessment of COVID-19 infection, immunity and severity. Specific Aims of the Competitive
Revision are as follows:
1. Prototype. We will test whether a COVID-19 signal may already be obtained using our best current
 imprinting methods and electronic detection circuitry.
2. Characterize. We will use biobanked patient samples to establish sensitivity, specificity, and limits of
 detection (LOD) of our initial prototype for COVID-19, as opposed to other common viruses.
3. Optimize and iterate. Informed by Aims 1 and 2, we will develop optimized electronics, s...

## Key facts

- **NIH application ID:** 10167922
- **Project number:** 3P41EB017183-06S1
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Daniel K Sodickson
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $772,877
- **Award type:** 3
- **Project period:** 2020-07-20 → 2022-07-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10167922

## Citation

> US National Institutes of Health, RePORTER application 10167922, Center for Advanced Imaging Innovation and Research (CAI2R) (3P41EB017183-06S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10167922. Licensed CC0.

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