# Discipline: A - Track: Five

> **NIH FDA U19** · WISCONSIN DEPT/AGRI/TRADE/CONSUM/ PROT · 2020 · $75,000

## Abstract

Project Summary 
DA/T5 
Microbiology Capability/Capacity Development - Cyclospora 
The purpose of this analytical track is to build additional capability and expand the national capacity in 
microbiological areas of emerging technology and/or where FDA has identified a specific need. 
Goal: Develop the capability to test for Cyclospora in human food product and environmental samples. 
Cyclospora is an emerging pathogen of interest in Wisconsin and throughout the US. A dependable 
method for recovering the organism in food and water samples does/did not exist until recently, making 
the identification of outbreaks related to this organism difficult to assess. FDA has recently come out with 
a more dependable method of testing for this organism. 
Wisconsin has been involved in two suspected outbreaks of Cyclospora in the past two year, but WI BLS 
was unable to do the testing the Division of Food and Recreation safety (DFRS) requested. 
WI BLS has already sent one of its staff members, Jay Lee, FERN training on Cyclospora (LB 302). In 
addition, he has attended multiple webinar updates on the method. 
Cyclospora is a method WI would like to add to its scope. Granting WI BLS this track enhances our ability 
to meet DFRS needs, and meets the goal of improved capacity and capabilities as out lined in the grant.

## Key facts

- **NIH application ID:** 10175974
- **Project number:** 1U19FD007105-01
- **Recipient organization:** WISCONSIN DEPT/AGRI/TRADE/CONSUM/ PROT
- **Principal Investigator:** Gil Kelley
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $75,000
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10175974

## Citation

> US National Institutes of Health, RePORTER application 10175974, Discipline: A - Track: Five (1U19FD007105-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10175974. Licensed CC0.

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