journal article·2020

Active-modulated, random-illumination, super-resolution optical fluctuation imaging

Baoju Wang, Zhijia Liu, Li Zhou, Yiyan Fei, Chengliang Yang, Lan Mi, Quanquan Mu, Jiong Ma

Nanoscale· Volume 12· Issue 32
Publisher page

Abstract

Super-resolution optical fluctuation imaging (SOFI) provides subdiffraction resolution based on the analysis of temporal stochastic intensity fluctuations. However, conventional SOFI imaging relies on the intrinsic blinking properties of fluorescent markers and suffers from severe artifacts and signal losses owing to the unmatched blinking on-time ratio. Herein, we propose active-modulated, random-illumination, super-resolution optical fluctuation imaging that allows the traditional SOFI to overcome the effect of the intrinsic impertinent blinking characteristic of fluorescent markers. We demonstrate theoretically and experimentally that this method of active-modulated random illumination can generate random illumination patterns with a controllable blinking on-time ratio to match the high-order SOFI reconstruction considerably reducing the generated artifacts and signal losses. High-order, high-quality images can be obtained with increased lateral resolution.
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Research context

OpenAlex topics: Advanced Fluorescence Microscopy Techniques · Optical Coherence Tomography Applications · Photoacoustic and Ultrasonic Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Optical Science and Engineering

Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing

Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education)

Green Photoelectron Platform

Fudan University

School of Life Sciences

Shanghai 200438

China

State Key Laboratory of Applied Optics

Changchun Institute of Optics

Fine Mechanics and Physics

Chinese Academy of Sciences

Changchun

Funding

National Natural Science Foundation of China · Ministry of Science and Technology of the People's Republic of China · Fudan University

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