Fast spatial domain reconstruction for structured illumination microscopy

Xing Zhou; Ming Lei; Dan Dan; Baoli Yao

doi:10.1117/12.2309616

24 April 2018 Fast spatial domain reconstruction for structured illumination microscopy

Xing Zhou, Ming Lei, Dan Dan, Baoli Yao

Proceedings Volume 10711, Biomedical Imaging and Sensing Conference; 107110N (2018) https://doi.org/10.1117/12.2309616
Event: SPIE Structured Light, 2018, Yokohama, Japan

Abstract

As a wide-field super-resolution (SR) technique, structured illumination microscopy (SIM) features the merits of fast imaging speed, low excitation intensity and a large field of view. However, it is hard for SIM to realize real-time imaging as the SR-image restoration always time-consuming. The basic workflow for conventional SIM reconstruction is based on the frequency domain reconstruction (FDR), which inevitably brings some computational errors and slows down the image reconstruction speed. In this letter, we introduce a fast SIM reconstruction scheme named spatial domain reconstruction (SDR) algorithm, which allow for obtaining a much faster reconstruction than FDR, making it suitable for real-time SR imaging. Meanwhile, the validity of the SDR algorithm is verified by real experiment.

Citation Download Citation

Xing Zhou, Ming Lei, Dan Dan, and Baoli Yao "Fast spatial domain reconstruction for structured illumination microscopy", Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107110N (24 April 2018); https://doi.org/10.1117/12.2309616

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available