# High-Content Imaging & Analysis Core

> **NIH NIH U54** · UNIVERSITY OF VIRGINIA · 2024 · $273,035

## Abstract

PROJECT ABSTRACT/SUMMARY
The High-Content Imaging & Analysis Core will provide the three SASCO Center projects with experimental
and computational resources to analyze different biological samples by multiplexed fluorescence microscopy
and to extract quantitative data from microscopy-based images. The core will develop, validate, and apply
highly multiplexed (iterative) imaging approaches, integrate subcellular imaging data collected across multiple
rounds of iterative imaging, and build customized tools for image analysis, feature recognition, and extraction.
The generated multi-parametric datasets will address specific needs of each project, enabling model-
experiment iterations involving diverse cancer drivers, signaling pathways, and subcellular organelles in
multiple biological contexts. The High-Content Imaging & Analysis Core will be co-led by two investigators
(Fallahi-Sichani and Rohde) with complementary expertise in multiplexed immunofluorescence imaging, image
analysis, and data science. Aim #1 will support the development, validation, and application of highly
multiplexed immunofluorescence staining and imaging procedures to measure molecular features at cellular,
subcellular, and organelle resolution. These procedures will enable the molecular analysis of mitotic signaling
pathways and recruitment patterns in metaphase chromosomes derived from breast cancer organoids (Project
1), mitochondrial morphology, cell signaling and metabolic enzymes in colorectal cancer cells and tumors
(Project 2), and post-translational modifications of key EGFR signaling molecules, protein-protein interactions,
and their subcellular localization in glioblastoma cells (Project 3). Aim #2 will customize tools for quantitative
image analysis, including image alignment and tracking, segmentation of cells and subcellular structures, as
well as feature extraction and recognition. The High-Content Imaging & Analysis Core will provide all three
projects the necessary expertise and tools for quantifying information about cells, cultures, and tissues from
image data to support hypothesis generation and model testing related to the overall hypotheses of the
SASCO Center.

## Key facts

- **NIH application ID:** 10903905
- **Project number:** 5U54CA274499-03
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** Gustavo Kunde Rohde
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $273,035
- **Award type:** 5
- **Project period:** 2022-09-12 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10903905

## Citation

> US National Institutes of Health, RePORTER application 10903905, High-Content Imaging & Analysis Core (5U54CA274499-03). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10903905. Licensed CC0.

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