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Imaging Biological Samples with Optical Microscopy01:18

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Performance tradeoffs for single- and dual-objective open-top light-sheet microscope designs: a simulation-based

Kevin W Bishop1,2,3, Adam K Glaser2, Jonathan T C Liu1,2,4,5

  • 1Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA.

Biomedical Optics Express
|September 14, 2020
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Summary

This study analyzes light-sheet microscopy (LSM) design parameters, revealing tradeoffs for single- and dual-objective configurations. A novel non-orthogonal dual-objective (NODO) architecture shows promise for moderate-resolution imaging.

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Area of Science:

  • Biophotonics and advanced microscopy techniques.
  • Optical engineering and system design for biological imaging.

Background:

  • Light-sheet microscopy (LSM) is crucial for high-speed, volumetric imaging of live organisms and cleared tissues.
  • Designing LSM systems requires balancing resolution, contrast, and working distance.

Purpose of the Study:

  • To analyze key design tradeoffs in single- and dual-objective light-sheet microscopy (LSM) systems.
  • To evaluate the impact of numerical aperture (NA) and crossing angle on imaging performance.
  • To explore the potential of a novel non-orthogonal dual-objective (NODO) architecture.

Main Methods:

  • Utilized diffraction-based analysis and simulations of light-sheet microscopy (LSM) point spread functions.
  • Assumed Gaussian illumination and an open-top light-sheet (OTLS) architecture.
  • Analyzed the effects of illumination/collection NA and crossing angle on resolution and contrast.

Main Results:

  • Identified performance tradeoffs for various single- and dual-objective LSM configurations.
  • Demonstrated that illumination NA, collection NA, and crossing angle significantly impact spatial resolution and contrast.
  • Highlighted the advantages of the non-orthogonal dual-objective (NODO) architecture for moderate-resolution imaging (NA 0.5-0.8).

Conclusions:

  • The study provides critical insights into optimizing LSM system design based on specific imaging needs.
  • The non-orthogonal dual-objective (NODO) configuration offers a promising alternative for certain applications, particularly moderate-resolution imaging.
  • Further development of NODO architectures could enhance capabilities in live imaging and cleared specimen analysis.