Resolution enhancement of transmission electron microscopy by super-resolution radial fluctuations
Abstract
Super-resolution fluorescence microscopy techniques have enabled dramatic development in modern biology due to their capability to discern features smaller than the diffraction limit of light. Recently, super-resolution radial fluctuations (SRRF), an analytical approach that is capable of generating super-resolution images easily without the need for specialized hardware or photoswitchable fluorophores, has been presented. While SRRF has only been demonstrated on fluorescence microscopes, in principle, this method can be used to generate super-resolution images on any imaging platforms with intrinsic radial symmetric point spread functions. In this work, we show that SRRF can be utilized to enhance the resolution and quality of transmission electron microscopy (TEM) images. By including an image registration algorithm to correct for sample drift, the SRRF-TEM approach substantially enhances the resolution of TEM images of three different samples acquired with a commercial TEM system. We quantify the resolution improvement in SRRF-TEM and evaluate how SRRF parameters affect the resolution and quality of SRRF-TEM results.
Additional Information
© 2020 Published under license by AIP Publishing. Submitted: 18 September 2019; Accepted: 16 January 2020; Published Online: 28 January 2020. The authors thank Greg Pitner and Philip Wong (Stanford University) for providing the CNTs imaged here. This material is based upon the work supported by the National Science Foundation under Grant No. CBET-1554516.Attached Files
Published - 1.5128353.pdf
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Additional details
- Eprint ID
- 100962
- Resolver ID
- CaltechAUTHORS:20200128-112042415
- CBET-1554516
- NSF
- Created
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2020-01-28Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field