Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging

Award Number: R03EB040036
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 08/15/2026
PERIOD OF PERFORMANCE END DATE: 07/31/2028

Group Awards By:

View Award Description

Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging - Abstract Multispectral fluorescence imaging enables simultaneous measurement of many molecular targets in situ, but quantitative interpretation is limited by spectral unmixing under photon-count noise. Most current pipelines, adapted from spectral remote sensing, assume Gaussian noise and continuous intensities; fluorescence mi- croscopy instead yields discrete, often overdispersed photon counts. This model–data mismatch reduces accu- racy, sensitivity to weak markers, and reproducibility. This R03 project will establish statistically principled, reproducible models for quantitative biological imaging by developing and validating a count-aware unxming framework that aligns with photon-count physics. The first aim of the project is to develop a unified, likelihood-based framework for spectral unmixing using count data dis- tribution models with structured regularization. The second aim is to validate and benchmark the framework on simulated and experimental datasets against state-of-the-art approaches, demonstrating improved signal accu- racy, localization, and biological interpretability. The expected outcome is a computationally efficient, statistically rigorous approach to count-based modeling that improves unmixing accuracy, robustness in low-photon regimes, and cross-session reproducibility. This new technology lays a robust foundation and pushes the boundaries of quantitative and reproducible spatial biology. By improving the precision and reproducibility of multispectral fluorescence imaging, this project directly supports the NIH mission to advance fundamental knowledge and develop tools that enhance biomedical research, disease diagnosis, and translational discovery.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $72,799 )
2026	2026	RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE	1400 WASHINGTON AVE	ALBANY	NY	12222	ALBANY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	8/13/2026	NEW	$72,799
														Subtotal = $72,799

Grand Total All Awards = $72,799

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging

Award Number: R03EB040036

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 08/15/2026

PERIOD OF PERFORMANCE END DATE: 07/31/2028

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer