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February 5, 2026

Reconstruction and regularization approaches for photon-resolved image scanning microscopy

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Authors

GGGiacomo GarrèAZAlessandro ZuninoGVGiuseppe Vicidomini

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Overview

Demonstrates improved signal-to-background ratio and resolution in image scanning microscopy, highlighting effective noise reduction methods.

Key Points

  • The research aims to enhance image scanning microscopy through improved reconstruction and regularization techniques.
  • Utilized fast, sensitive detector arrays for image scanning microscopy.
  • Exploited axial position information to invert the physical model with s2IS M.
  • Regularized the s2IS M algorithm using deep-learning denoisers.
  • Achieved improved signal-to-background ratio and resolution compared to traditional methods.
  • Enabled analysis of data with previously unusable signal-to-noise ratios.

Cite This Study

Garrè et al. (2025) studied this question.

synapsesocial.com/papers/6984343ff1d9ada3c1fb238bhttps://doi.org/10.1051/epjconf/202533504015/pdf
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