# Core B - Instrumentation/Microscopy/Histopathology

> **NIH NIH P01** · UNIVERSITY OF WISCONSIN-MADISON · 2022 · $132,837

## Abstract

CORE B – PROJECT SUMMARY/ABSTRACT
The Instrumentation / Microscopy / Histopathology Core provides support for facilities and equipment used
communally by members of the PPG. Aim 1 is to provide priority access to and instruction in the use of critical
instrumentation including 1) high-speed ultracentrifuges; 2) a Typhoon 8610 Imager; 3) an ABI Prism 7900HT
real-time PCR machine; and 4) a Beckman Spectrophotometer DU7400. Aim 2 is to provide priority access
to and instruction in the use of advanced PPG microscopy resources including a Zeiss Axioimager suite, a
Zeiss Axiovert 200M 3-D deconvolution live cell imaging microscope, two Nikon Ti-Eclipse live cell imaging
deconvolution microscopes, and a fully automated Nikon A1R confocal microscope. Aim 3 is to provide PPG
members with essential shared histopathology services for generating, processing, and visualizing formalin-
fixed, paraffin-embedded and frozen tissue samples for tumor virus-associated cancer studies. Combined,
this Core (formerly the “Instrumentation” Core) has been extensively used over the current funding period,
and is now expanded in its capacity to include additional microscopy and histopathology capabilities needed
across the five projects of this P01.

## Key facts

- **NIH application ID:** 10414881
- **Project number:** 5P01CA022443-45
- **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON
- **Principal Investigator:** Nathan M Sherer
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $132,837
- **Award type:** 5
- **Project period:** 1997-02-01 → 2024-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10414881

## Citation

> US National Institutes of Health, RePORTER application 10414881, Core B - Instrumentation/Microscopy/Histopathology (5P01CA022443-45). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10414881. Licensed CC0.

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