# Close-loop, spatially addressable multiphoton functional imaging

> **NIH NIH U01** · CORNELL UNIVERSITY · 2022 · $12,197

## Abstract

Abstract
This administrative supplement will enable the PI to attract an under-represented minority in
health care research. The funding will be used for the research and training of Mr. Alejandro
Simon (currently an undergraduate student at Yale). The proposed research is under Aim 1 of
the parent grant: fast algorithms for segmentation and feedback for gain equalization.
Alejandro’s work will not only showcase the unique capability of the adaptive excitation source,
but also lay the foundation for a new class of adaptive excitation source for dynamically
changing regions of interests.

## Key facts

- **NIH application ID:** 10580393
- **Project number:** 3U01NS113281-03S1
- **Recipient organization:** CORNELL UNIVERSITY
- **Principal Investigator:** CHRIS XU
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $12,197
- **Award type:** 3
- **Project period:** 2022-06-01 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10580393

## Citation

> US National Institutes of Health, RePORTER application 10580393, Close-loop, spatially addressable multiphoton functional imaging (3U01NS113281-03S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10580393. Licensed CC0.

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