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Roadmap on computational methods in optical imaging and holography [invited].

Joseph Rosen^1,2, Simon Alford³, Blake Allan⁴

¹School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, 8410501 Beer-Sheva, Israel.

Applied Physics. B, Lasers and Optics

|September 2, 2024

Summary

Computational methods are revolutionizing optical imaging and holography, offering cost-effective replacements for traditional optical components. This roadmap details advancements in key areas and provides practical tools for researchers.

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Area of Science:

Optics and Photonics
Computational Imaging
Holography

Background:

Computational methods are increasingly integral to optical imaging and holography.
There is a growing trend to replace traditional optical methods with computational approaches due to cost-effectiveness and efficiency.

Purpose of the Study:

To provide a comprehensive roadmap of computational methods in optical imaging and holography.
To review the current landscape and future trends in key research areas.
To offer practical resources for researchers to understand and implement algorithms.

Main Methods:

Review of current literature and expert perspectives in four key areas: incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging.
Inclusion of computational codes and pseudocodes for practical application.
Analysis of recent studies and trends.

Main Results:

Identification of computational methods as central to modern optical imaging and holography.
Demonstration of computational approaches replacing conventional optical components.
Presentation of state-of-the-art techniques and practical algorithms.

Conclusions:

Computational methods are pivotal for the future of optical imaging and holography.
This roadmap serves as a valuable resource for navigating and advancing the field.
The provided tools facilitate hands-on learning and application of cutting-edge algorithms.