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Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

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Published on: February 8, 2014

System- and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant

Jiashu Han^1,2, Kunzan Liu^1,2, Keith B Isaacson³

¹Research Laboratory of Electronics, MIT, Cambridge, MA, USA.

Nature Communications

|January 17, 2025

Summary

This study introduces SSAI-3D, a novel framework for robust 3D imaging that overcomes optical microscopy limitations. It enhances axial resolution in label-free imaging of complex biological tissues, improving structural analysis.

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Last Updated: Jun 1, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

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Published on: February 8, 2014

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Published on: April 9, 2014

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

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Published on: June 24, 2013

Area of Science:

Biomedical Imaging
Microscopy
Computational Biology

Background:

Optical microscopy's diffraction limit restricts axial resolution in 3D imaging.
Accurate 3D structural analysis is hindered, especially in label-free imaging of thick, heterogeneous tissues.
Standard imaging assumptions often fail for complex biological samples.

Purpose of the Study:

To develop a robust framework for isotropic 3D imaging.
To overcome limitations in axial resolution for label-free imaging of biological tissues.
To enable accurate 3D structural analysis in challenging samples.

Main Methods:

Introduced SSAI-3D, a weakly physics-informed, domain-shift-resistant framework.
Generated a diverse, noise-resilient, sample-informed training dataset.
Sparsely fine-tuned a large pre-trained blind deblurring network for axial deblurring.

Main Results:

SSAI-3D demonstrated robust axial deblurring capabilities.
The framework was successfully applied to label-free nonlinear imaging of organoids, human endometrium, and mouse whisker pads.
Validated on public datasets of 3D heterogeneous biological tissues with unknown imaging conditions.

Conclusions:

SSAI-3D provides a robust solution for isotropic 3D imaging.
The framework enhances axial resolution in challenging label-free microscopy applications.
Enables more accurate 3D structural analysis of complex biological tissues.