4.6 Article

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

Journal

BIOMEDICAL OPTICS EXPRESS
Volume 11, Issue 8, Pages 4627-4650

Publisher

OPTICAL SOC AMER
DOI: 10.1364/BOE.397052

Keywords

-

Funding

  1. National Science Foundation [DGE-1762114]
  2. National Institutes of Health [K99 CA240681, R01CA175391]
  3. U.S. Department of Defense [W81XWH-18-10358]

Ask authors/readers for more resources

Light-sheet microscopy (LSM) has emerged as a powerful tool for high-speed volumetric imaging of live model organisms and large optically cleared specimens. When designing cleared-tissue LSM systems with certain desired imaging specifications (e.g. resolution, contrast, and working distance), various design parameters must be taken into consideration. In order to elucidate some of the key design tradeoffs for LSM systems, we present a diffraction-based analysis of single- and dual-objective LSM configurations using simulations of LSM point spread functions. We assume Gaussian illumination is utilized. Specifically, we analyze the effects of the illumination and collection numerical aperture (NA), as well as their crossing angle, on spatial resolution and contrast. Assuming an open-top light-sheet (OTLS) architecture, we constrain these parameters based on fundamental geometric considerations as well as those imposed by currently available microscope objectives. In addition to revealing the performance tradeoffs of various single- and dual-objective LSM configurations, our analysis showcases the potential advantages of a novel, non-orthogonal dual-objective (NODO) architecture, especially for moderate-resolution imaging applications (collection NA of 0.5 to 0.8). (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available