# Capacity for histopathologic evaluation of animal tissues in support of FDA Vet-LIRN activities

> **NIH FDA U18** · UNIVERSITY OF PENNSYLVANIA · 2021 · $22,250

## Abstract

PROJECT SUMMARY/ABSTRACT
This project involves the purchase of a Leica HistoCore BIOCUT manual rotary microtome and a Leica
HI1210 water bath for paraffin sections. Our laboratory currently has two sets of comparable histology
equipment that allow two histotechnicians to cut paraffin-embedded tissue sections simultaneously;
however, these workstations are currently operating at maximum capacity and are unable to
accommodate our growing histology caseload, let alone the need for high-volume surge capacity in the
event of a disease outbreak or large case investigation. This histology equipment purchase would allow
us to establish a third workstation for an additional histotechnician to increase our case throughput and
minimize turnaround time for important and time-sensitive pathology case investigations. Our
laboratory currently serves as a Vet-LIRN network laboratory to diagnose, characterize, and report
emerging and endemic veterinary diseases, including zoonoses. This histology equipment purchase
would further strengthen our laboratory’s capacity to investigate animal disease outbreaks to promote
both human and animal health.

## Key facts

- **NIH application ID:** 10449663
- **Project number:** 1U18FD007517-01
- **Recipient organization:** UNIVERSITY OF PENNSYLVANIA
- **Principal Investigator:** Lisa Murphy
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2021
- **Award amount:** $22,250
- **Award type:** 1
- **Project period:** 2021-09-06 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10449663

## Citation

> US National Institutes of Health, RePORTER application 10449663, Capacity for histopathologic evaluation of animal tissues in support of FDA Vet-LIRN activities (1U18FD007517-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10449663. Licensed CC0.

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