Recent advances in point spread function engineering and related computational microscopy approaches: from one viewpoint

Yoav Shechtman

doi:10.1007/s12551-020-00773-7

Recent advances in point spread function engineering and related computational microscopy approaches: from one viewpoint

Yoav Shechtman

Technion - Israel Institute of Technology

Research output: Contribution to journal › Review article › peer-review

Abstract

This personal hybrid review piece, written in light of my recipience of the UIPAB 2020 young investigator award, contains a mixture of my scientific biography and work so far. This paper is not intended to be a comprehensive review, but only to highlight my contributions to computation-related aspects of super-resolution microscopy, as well as their origins and future directions.

Original language	English
Pages (from-to)	1303-1309
Number of pages	7
Journal	Biophysical Reviews
Volume	12
Issue number	6
DOIs	https://doi.org/10.1007/s12551-020-00773-7
State	Published - Dec 2020

Keywords

Deep learning
Point-spread function engineering
Single particle tracking
Super resolution microscopy

All Science Journal Classification (ASJC) codes

Biophysics
Structural Biology
Molecular Biology

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10.1007/s12551-020-00773-7

Cite this

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title = "Recent advances in point spread function engineering and related computational microscopy approaches: from one viewpoint",

abstract = "This personal hybrid review piece, written in light of my recipience of the UIPAB 2020 young investigator award, contains a mixture of my scientific biography and work so far. This paper is not intended to be a comprehensive review, but only to highlight my contributions to computation-related aspects of super-resolution microscopy, as well as their origins and future directions.",

keywords = "Deep learning, Point-spread function engineering, Single particle tracking, Super resolution microscopy",

author = "Yoav Shechtman",

note = "Publisher Copyright: {\textcopyright} 2020, International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2020",

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Recent advances in point spread function engineering and related computational microscopy approaches: from one viewpoint

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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