Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging
NIBIB - National Institute of Biomedical Imaging and Bioengineering
About This Grant
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.
Grant Summary
Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging is a NIBIB - National Institute of Biomedical Imaging and Bioengineering grant providing up to $73K for university, nonprofit, healthcare org. Applications are due 2028-07-31 (open). Check eligibility and apply with FindGrants.
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How to Apply
Up to $73K
2028-07-31
- 1Confirm your organization is eligible for Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging from NIBIB - National Institute of Biomedical Imaging and Bioengineering, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIBIB - National Institute of Biomedical Imaging and Bioengineering before the deadline.
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Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging: Frequently Asked Questions
Who is eligible for the Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging?
Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging is offered by NIBIB - National Institute of Biomedical Imaging and Bioengineering and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging provide?
Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging provides up to $73K per award from NIBIB - National Institute of Biomedical Imaging and Bioengineering. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging deadline?
Applications for Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging are due 2028-07-31 (open). Because deadlines can change, verify the date with the funder, NIBIB - National Institute of Biomedical Imaging and Bioengineering, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging?
To apply for Count-Aware Modeling Approaches for Spectral Unmixing in Multispectral Fluorescence Imaging, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIBIB - National Institute of Biomedical Imaging and Bioengineering.