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Active image optimization for lattice light sheet microscopy in thick samples.

Maxime Malivert1,2, Fabrice Harms2, Cynthia Veilly2

  • 1Université de Bordeaux, CNRS, INSERM, Bordeaux Imaging Center (BIC), UAR 3420, US 4, F-33000 Bordeaux, France.

Biomedical Optics Express
|January 2, 2023
PubMed
Summary
This summary is machine-generated.

We developed a simple active image optimization (AIO) method to overcome depth limitations in lattice light-sheet microscopy (LLSM) for imaging thick biological samples. This technique enhances resolution by correcting optical aberrations, enabling clearer 3D visualization.

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Area of Science:

  • Biomedical Imaging
  • Microscopy Techniques
  • Optical Physics

Background:

  • Lattice light-sheet microscopy (LLSM) offers high-resolution 3D imaging of dynamic biological processes.
  • Imaging depth in LLSM is restricted by optical aberrations due to refractive index mismatch in thick samples.

Purpose of the Study:

  • To introduce a cost-effective active image optimization (AIO) method for improved LLSM imaging depth.
  • To enable high-resolution visualization within thick biological specimens.

Main Methods:

  • The proposed AIO method integrates a light-sheet autofocus (AF) step with adaptive optics (AO) for image-based optimization.
  • Optimization parameters were determined for fast, precise, and robust aberration correction in biological samples.

Main Results:

  • The AIO method successfully recovered high-resolution imaging within thick biological samples.
  • Demonstrated performance on sub-micrometric structures in brain slices and plant roots.

Conclusions:

  • Active image optimization (AIO) effectively overcomes depth-related optical aberrations in LLSM.
  • This technique significantly enhances the capability of LLSM for in-situ imaging of complex biological tissues.