# Vet-Lirn Network Supplemental Capacity Building: 7500 FAST Real-Time System

> **NIH FDA U18** · LOUISIANA STATE UNIV A&M COL BATON ROUGE · 2020 · $40,700

## Abstract

Project Summary Abstract
The Louisiana Animal Disease Diagnostic Laboratory (LADDL) is an accredited
laboratory with the American Association of Veterinary Laboratory Diagnostician
(AAVLD). We are committed to maintaining the highest accreditation standards,
improving existing diagnostic services, and developing new tests to meet the demands
of our industry stakeholders and regulatory agencies. LADDL works through
cooperative agreements with the state and the USDA and its interagencies to perform
diagnostic surveillance for endemic, targeted, and foreign animal diseases to enhance
the biosecurity of the food and agricultural industries of the United States. LADDL is a
member of the VeterinaryLaboratory Investigation and Response Network (Vet-LIRN),
whose mission is to build a strong animal diagnostic network to provide sample
analyses in the event of animal food or drug related illnesses or other large-scale
animal/feed emergency events. LADDL is requesting supplemental capacity funding to
purchase a 7500 Fast Real-Time qPCR Instrument to help promote and support the
goals of the Vet-LIRN. This equipment will increase the capacity to identify agents
involved in animal disease outbreaks and investigations.

## Key facts

- **NIH application ID:** 10215986
- **Project number:** 1U18FD007233-01
- **Recipient organization:** LOUISIANA STATE UNIV A&M COL BATON ROUGE
- **Principal Investigator:** Udeni B. R. Balasuriya
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $40,700
- **Award type:** 1
- **Project period:** 2020-09-20 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10215986

## Citation

> US National Institutes of Health, RePORTER application 10215986, Vet-Lirn Network Supplemental Capacity Building: 7500 FAST Real-Time System (1U18FD007233-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10215986. Licensed CC0.

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