# Flow Cytometry Core

> **NIH NIH P30** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2021 · $161,381

## Abstract

SUMMARY – Flow Cytometry Module
Flow cytometry is a powerful technology for multiparameter analysis of single cells contained within a mixed cell
suspension. Within minutes, millions of cells labeled with fluorescent antibodies or dyes pass through laser
beams that generate signals which reflect cell morphology and fluorescent intensity measurements. Sorting of
up to four cell populations with desired phenotypes defined by up to 15 different parameters is also possible.
The overall goal of the Flow Cytometry Module is to allow vision scientists to easily utilize flow cytometric
applications in their research, and to lower the barrier to developing and utilizing flow cytometric applications in
new projects. !

## Key facts

- **NIH application ID:** 10168542
- **Project number:** 5P30EY008098-33
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** ROBERT L HENDRICKS
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $161,381
- **Award type:** 5
- **Project period:** 1997-04-01 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10168542

## Citation

> US National Institutes of Health, RePORTER application 10168542, Flow Cytometry Core (5P30EY008098-33). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10168542. Licensed CC0.

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