Fast finite difference solver for optical microscopy in deep biological tissue Journal Article uri icon

Overview

abstract

  • Optical scattering poses a significant challenge to high-resolution; microscopy within deep tissue. To accurately predict the performance; of various microscopy techniques in thick samples, we present a; computational model that efficiently solves Maxwell’s equation in; highly scattering media. This toolkit simulates the deterioration of; the laser beam point spread function (PSF) without making a paraxial; approximation, enabling accurate modeling of high-numerical-aperture; (NA) objective lenses commonly employed in experiments. Moreover, this; framework is applicable to a broad range of scanning microscopy; techniques including confocal microscopy, stimulated emission; depletion (STED) microscopy, and ground-state depletion microscopy.; Notably, the proposed method requires only readily obtainable; macroscopic tissue parameters. As a practical demonstration, we; investigate the performance of Laguerre–Gaussian (LG) versus; Hermite–Gaussian (HG) depletion beams in STED microscopy.

publication date

  • August 1, 2024

has restriction

  • closed

Date in CU Experts

  • August 7, 2024 6:34 AM

Full Author List

  • Shanavas T; McLeod RR; Siemens ME; Gopinath JT

author count

  • 4

Other Profiles

International Standard Serial Number (ISSN)

  • 0146-9592

Electronic International Standard Serial Number (EISSN)

  • 1539-4794

Additional Document Info

start page

  • 4417

end page

  • 4417

volume

  • 49

issue

  • 15