Point Spread Function Engineering
Point Spread Function Engineering is a computational and optical methodology in super-resolution microscopy that deliberately modifies the point spread function of a microscope to encode higher-resolution spatial information beyond the diffraction limit, enabling enhanced image reconstruction through controlled manipulation of the light-matter interaction point response.
74
Publications
2.9K
Citations
238
Authors
106
Institutions
Publications per year
2017–2026
39
Parents
74
Multicolour localization microscopy by point-spread-function engineering
Yoav Shechtman, Lucien E. Weiss, Adam S. Backer et al. · Nature Photonics · 2016 · 171 citations · Full text
Multicolor localization microscopy and point-spread-function engineering by deep learning
Eran Hershko, Lucien E. Weiss, Tomer Michaeli et al. · Optics Express · 2019 · 130 citations · Full text
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106
Technion – Israel Institute of Technology
Haifa, Israel
6 h-index
24 publications
986 citations
University of Colorado Boulder
Boulder, United States
4 h-index
8 publications
269 citations
Universitat de València
Valencia, Spain
3 h-index
7 publications
93 citations

The University of Queensland
Brisbane, Australia
3 h-index
3 publications
151 citations
Stanford University
Stanford, United States
3 h-index
12 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
11 publications
1.6K citations
University of Memphis
Memphis, United States
3 h-index
8 publications
170 citations

Southern University of Science and Technology
Shenzhen, China
3 h-index
9 publications
311 citations
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12 publications · 575 citations
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7 publications · 316 citations
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4 publications · 96 citations
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AO · 4 publications · 95 citations
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3 publications · 42 citations
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