Mr. Hehe Ma Profile

Hehe Ma

at Shanghai Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 20 November 2019 Paper

A fast reconstruction method for super-resolution localization microscopy with gOMP

Hehe Ma, Yuexia Shu, Xin Liu

Proceedings Volume 11190, 111903K (2019) https://doi.org/10.1117/12.2538644

KEYWORDS: Super resolution, Microscopy, Molecules, Signal to noise ratio, Numerical simulations, Spatial resolution, Data acquisition, Diffraction, Compressed sensing, Stochastic processes

Read Abstract +

Super-resolution localization microscopy (SRLM) breaks the diffraction limit, making possible the observation of sub-cellular structures. Challenges remain in SRLM due to a long data acquisition time. To overcome the limitation, the methods based on compressed sensing (CS) have been proposed. However, at the current stage, the widely used sparsity-based localization methods, e.g., interior point method (IPM), is computationally intensive. To address the problem, in this paper, we introduce an alternative CS reconstruction method to super-resolution imaging model, which is achieved by using gOMP (generalized Orthogonal Matching Pursuit). A series of numerical simulations with varying emitter densities and signal-to-noise rations (SNRs) are performed to evaluate the performance of gOMP method. The results show that whatever gOMP or IPM is used in SRLM, the obtained localization accuracy is similar. But, the data-processing time of gOMP can be significantly reduced (< 100 times) than the previous reported IPM method. As a result, gOMP provides the potential for reducing the computational cost while maintaining a desired spatial resolution, which is beneficial for SRLM imaging.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years