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Denoising Algorithm for High-Resolution and Large-Range Phase-Sensitive SPR Imaging Based on PFA.

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Summary

This study introduces an enhanced phase-sensitive surface plasmon resonance (SPR) imaging system and a novel PPBM4D algorithm. The system achieves higher refractive index resolution and extended dynamic range for molecular studies.

Keywords:
BM3DSPR imagingdenoising algorithmphase-sensitive SPRpolarization filter array

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Area of Science:

  • Biophysics
  • Optical Physics
  • Analytical Chemistry

Background:

  • Phase-sensitive surface plasmon resonance (SPR) detection is crucial for real-time molecular dynamics and SPR imaging.
  • Current limitations include achieving higher refractive index resolution within an optimal dynamic range.

Purpose of the Study:

  • To enhance SPR phase imaging systems for extended dynamic range and improved resolution.
  • To develop a novel algorithm for noise reduction and enhanced measurement accuracy.

Main Methods:

  • Integration of a quad-polarization filter array for phase differential detection.
  • Development and application of a polarization pair, block matching, and 4D filtering (PPBM4D) algorithm, extending the BM3D framework.
  • Validation using stepwise NaCl solutions and protein interaction assays.

Main Results:

  • The PPBM4D algorithm achieved 57% instrumental noise reduction.
  • A refractive index resolution of 1.51 × 10-6 RIU was obtained across a 1.333-1.393 RIU range.
  • Successful validation in both solution concentration and biomolecular interaction studies.

Conclusions:

  • The developed system and PPBM4D algorithm provide a robust framework for high-resolution SPR applications.
  • This advancement is particularly beneficial for live-cell imaging and high-throughput screening.
  • Enables precise molecular analysis over a broad dynamic range.