Ultrafast super-resolution imaging via auto-correlation two-step deconvolution

Weisong Zhao; Jian Liu; Haoyu Li

doi:10.1117/12.2567853

20 August 2020 Ultrafast super-resolution imaging via auto-correlation two-step deconvolution

Weisong Zhao, Jian Liu, Haoyu Li

Proceedings Volume 11497, Ultrafast Nonlinear Imaging and Spectroscopy VIII; 114970V (2020) https://doi.org/10.1117/12.2567853
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

In this work, based on fluorescence blinking and blench microscope systems, we proposed a super-resolution method based on auto-correlation two-step deconvolution (SACD) to enhance the temporal resolution at lower signal intensity levels, utilizing LR deconvolution as two separated steps and combining with the multi-plan auto-correlation (MPAC). In this SACD model, the time-varying fluorescence intensity images can be analyzed and produce super-resolution images under insufficient frames involved or the sparse photons level. By using three typical datasets, i.e., the simulated fluctuation data, the experimental fluctuation data, and high density SMLM data, we demonstrate the accuracy and the effectiveness of our proposed SACD model. Our SACD and conventional methods are also compared in details and the reconstructions substantially outperform these current algorithms.

Conference Presentation

Citation Download Citation

Weisong Zhao, Jian Liu, and Haoyu Li "Ultrafast super-resolution imaging via auto-correlation two-step deconvolution", Proc. SPIE 11497, Ultrafast Nonlinear Imaging and Spectroscopy VIII, 114970V (20 August 2020); https://doi.org/10.1117/12.2567853

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