Spectral fingerprint diagnosis: Spatially independent analysis of biomarker patterns in homogeneous systems.

ABSTRACT: High-throughput biomarker analysis traditionally relies on spatial distribution features, either naturally occurring or artificially engineered. Achieving multiplex detection in a homogeneous system without spatial distribution remains a challenge. Fluorescence-based polymerase chain reaction (PCR) exemplifies a spatially independent technology for targeted multiplex detection, but it is limited by spectral overlap. Here, we proposed spectral fingerprint PCR (sf-PCR), which leverages three-dimensional fluorescence spectral fingerprints to profile biomarker expression patterns. These fingerprints capture both the position and intensity of fluorescence peaks, increasing information density and offering a breakthrough in spectral overlap. In addition, sf-PCR exhibits linear superimposability

SUBMITTER: Mao D 

PROVIDER: S-EPMC12700216 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature