Simultaneously enhancing the resolution and signal-to-background ratio in STED optical nanoscopy via differential depletion

Author:

Jeong Sejoo,Kim Jaeyong,Koh Dongbin1,Lee Jong-Chan2ORCID

Affiliation:

1. College of Transdisciplinary Studies, School of Undergraduate Studies

2. New Biology Research Center

Abstract

STED (stimulated emission depletion) far-field optical nanoscopy achieves resolution beyond the diffraction limit by depleting fluorescence at the periphery of excitation with a donut-shaped depletion laser. What is traded off with the superior resolution of STED nanoscopy is the unwanted elevation of structured background noise which hampers the quality of STED images. Here, we alleviate the background noise problem by adopting the differential stimulated emission depletion (diffSTED) approach. In diffSTED nanoscopy, signals obtained with different depletion strengths are compared and properly subtracted to remove two major background noise sources in STED nanoscopy. We show via simulations that by using diffSTED nanoscopy, background noise is significantly decreased, and the image contrast is improved. In addition, we show by simulation and analytical calculation that diffSTED improves resolution simultaneously. We assess the effect of different parameters, such as the STED beam intensity, depletion intensity ratio of two STED beams, and the subtraction factor, on the signal-to-background ratio (SBR) and the resolution of diffSTED nanoscopy. We introduce a logical algorithm to determine the optimal subtraction factor and the depletion intensity ratio. DiffSTED nanoscopy is a versatile technique that can be readily applied to any STED system without requiring any hardware modifications. We predict the wide applicability of diffSTED for its enhanced resolution, improved SBR, and easiness of implementation.

Funder

National Research Foundation of Korea

DGIST R&D Program of the Ministry of Science and ICT of Korea

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

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