Abstract
Superresolution optical fluctuation imaging (SOFI) is a simple and affordable superresolution imaging technique, and attracted a growing community over the past decade. However, the theoretical resolution enhancement of high order SOFI is still not fulfilled. In this study, we identify “cusp artifacts” in high order SOFI images, and show that the high-order cumulants, odd-order moments and balanced-cumulants (bSOFI) are highly vulnerable to cusp artifacts. Our study provides guidelines for developing and screening for fluorescence probes, and improving data acquisition for SOFI. The new insight is important to inspire positive utilization of the cusp artifacts.
| Original language | English |
|---|---|
| Pages (from-to) | 554-570 |
| Number of pages | 17 |
| Journal | Biomedical Optics Express |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Feb 2020 |
Bibliographical note
Publisher Copyright:© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
Funding
National Science Foundation (DMR-1548924); Dean Willard Chair Fund; Lawrence Livermore National Laboratory. The first author thanks Dr. Jianmin Xu for advises and training on cell culturing and immunostaining. We also thank Ms. Yingyi Lin, Mr. Xi Lin, and Mr. Sungho Son for their help with the project as undergraduate student researchers. Finally, we acknowledge the computational and storage services provided by the Hoffman2 Shared Cluster maintained by the Research Technology Group of the UCLA Institute for Digital Research and Education. This work was partially performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. National Science Foundation (DMR-1548924); Dean Willard Chair Fund; Lawrence Livermore National Laboratory. The first author thanks Dr. Jianmin Xu for advises and training on cell culturing and immunos-taining. We also thank Ms. Yingyi Lin, Mr. Xi Lin, and Mr. Sungho Son for their help with the project as undergraduate student researchers. Finally, we acknowledge the computational and storage services provided by the Hoffman2 Shared Cluster maintained by the Research Technology Group of the UCLA Institute for Digital Research and Education. This work was partially performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
| Funders | Funder number |
|---|---|
| UCLA Institute for Digital Research and Education | |
| National Science Foundation | DMR-1548924 |
| U.S. Department of Energy | |
| Lawrence Livermore National Laboratory | DE-AC52-07NA27344 |