Framework for signal-to-noise ratio estimation in fluorescence imaging systems

Signal-to-noise ratio (SNR) is a critical performance metric in fluorescence imaging systems, which must often detect low-intensity signals in the presence of background noise. Unlike conventional imaging, fluorescence imaging requires careful separation of signal and noise to ensure quantitative accuracy. However, standardized methods for SNR evaluation in such systems remain lacking.

Publication Details

Journal
Iowa Research Online (The University of Iowa)
Published
2025-04-28
DOI
https://doi.org/10.25820/etd.008005
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Framework for signal-to-noise ratio estimation in fluorescence imaging systems

Iowa Research Online (The University of Iowa)
Geochemistry and Geologic Mapping
article

Framework for signal-to-noise ratio estimation in fluorescence imaging systems

article en

Abstract

Signal-to-noise ratio (SNR) is a critical performance metric in fluorescence imaging systems, which must often detect low-intensity signals in the presence of background noise. Unlike conventional imaging, fluorescence imaging requires careful separation of signal and noise to ensure quantitative accuracy. However, standardized methods for SNR evaluation in such systems remain lacking.

Iowa Research Online (The University of Iowa)
Openalex Percentile: Top 69%
Geochemistry and Geologic Mapping
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Framework for signal-to-noise ratio estimation in fluorescence imaging systems · Iowa Research Online (The University of Iowa) (2025) | TGRS Research Map | TGRS