# Dual Beckman Coulter DxH 690T and Beckman Coulter DxH 560 AL

> **NIH NIH S10** · TEXAS BIOMEDICAL RESEARCH INSTITUTE · 2022 · $85,775

## Abstract

Abstract
Texas Biomedical Research Institute (Texas Biomed) is a non-profit, independent research institute, focused on
infectious disease research. It is also the host institution for the Southwest National Research Primate Center
(SNPRC), one of the seven NIH-funded NPRCs in the nation. SNPRC houses ~ 3000 nonhuman primates
(NHPs). The SNPRC Pathology Core supports diagnostic, anatomic, morphologic, molecular and clinical
pathology needs of > 100 internal and external scientists. Many internal faculty members also extensively
utilize rodents for research that is supported by the Pathology Core staff. We request S10 support to purchase
a dual Beckman Coulter DxH 690T and Beckman Coulter DxH 560 AL for hematology analyses of
experimental and colony health data of NHPs and rodents. The requested replacement unit will replace and
upgrade the clinical diagnostic services that are currently provided by end-of-life equipment at Texas Biomed.
The DxH 690T is a suitable, cost-effective replacement for, and is capable of reproducing all analysis parameters
of an existing DxH 800. The DxH 560L performs hematology analysis using miniscule volumes of blood, which
makes hematology analysis possible for studies involving rodents and small NHPs.

## Key facts

- **NIH application ID:** 10431573
- **Project number:** 1S10OD032443-01
- **Recipient organization:** TEXAS BIOMEDICAL RESEARCH INSTITUTE
- **Principal Investigator:** JOANNE TURNER
- **Activity code:** S10 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $85,775
- **Award type:** 1
- **Project period:** 2022-09-20 → 2023-09-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10431573

## Citation

> US National Institutes of Health, RePORTER application 10431573, Dual Beckman Coulter DxH 690T and Beckman Coulter DxH 560 AL (1S10OD032443-01). Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/grant/nih/10431573. Licensed CC0.

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