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Lensless Fluorescent Microscopy on a Chip
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Recent advances in point spread function engineering and related computational microscopy approaches: from one

Yoav Shechtman1

  • 1Department of Biomedical Engineering and Lorry Lokey Interdisciplinary Center for Life Sciences and Engineering, Technion-Israel Institute of Technology, 3200003, Haifa, Israel. yoavsh@bm.technion.ac.il.

Biophysical Reviews
|November 19, 2020
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Summary

This review highlights computational contributions to super-resolution microscopy, detailing origins and future directions in the field. It focuses on advancements in imaging techniques and data analysis.

Keywords:
Deep learningPoint-spread function engineeringSingle particle trackingSuper resolution microscopy

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Area of Science:

  • Biophysics
  • Computational Imaging
  • Microscopy

Background:

  • Super-resolution microscopy has revolutionized biological imaging.
  • Computational methods are crucial for advancing super-resolution techniques.
  • The author received the UIPAB 2020 Young Investigator Award.

Purpose of the Study:

  • To present a personal review of the author's contributions to computational super-resolution microscopy.
  • To outline the origins and future directions of these computational methods.
  • To highlight key advancements in the field.

Main Methods:

  • Review of published research focusing on computational aspects of super-resolution microscopy.
  • Discussion of the development and application of novel algorithms.
  • Analysis of data processing techniques for enhanced image quality.

Main Results:

  • Demonstration of significant progress in computational approaches for super-resolution microscopy.
  • Identification of key challenges and opportunities for future research.
  • Integration of computational strategies to improve imaging resolution and analysis.

Conclusions:

  • Computational methods are integral to the progress of super-resolution microscopy.
  • Continued innovation in algorithms and data analysis will drive future discoveries.
  • The author's work has contributed to the advancement of the field.