System- and Sample-agnostic Isotropic 3D Microscopy by Weakly Physics-informed, Domain-shift-resistant Axial Deblurring

2026 Open access

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Authors: Jiashu Han, Kunzan Liu, Keith Isaacson, Kristina Monakhova, Linda G. Griffith, Sixian You
DOI: 10.1364/microscopy.2026.mm3b.6
Cited by: 0

Abstract

We introduce SSAI-3D, a framework for robust isotropic 3D imaging, leveraging sample-informed self-supervised dataset and sparse fine-tuning of large pre-trained network, validated on diverse data from heterogeneous tissues with unknown blurring and noise in systems.

Fields of Study & Subjects

Digital Holography and Microscopy Integrated Circuits and Semiconductor Failure Analysis Near-Field Optical Microscopy

Publication details

Pages
MM3B.6–MM3B.6
Publication date
1 January 2026
Language
EN