Open Access
12 October 2020 High-resolution 3D light-field imaging
Author Affiliations +
Abstract

Significance: High-speed 3D imaging methods have been playing crucial roles in many biological discoveries.

Aim: We present a hybrid light-field imaging system and image processing algorithm that can visualize high-speed biological events.

Approach: The hybrid light-field imaging system uses the selective plane optical illumination, which simultaneously records a high-resolution 2D image and a low-resolution 4D light-field image. The high-resolution 4D light-field image is obtained by applying the hybrid algorithm derived from the deconvolution and phase retrieval methods.

Results: High-resolution 3D imaging at a speed of 100-s volumes per second over an imaging field of 250  ×  250  ×  80  μm3 in the x, y, and z axis, respectively, is achieved with a 2.5 times enhancement in lateral resolution over the entire imaging field compared with standard light-field systems. In comparison to the deconvolution algorithm, the hybrid algorithm addresses the artifact issue at the focal plane and reduces the computation time by a factor of 4.

Conclusions: The new hybrid light-field imaging method realizes high-resolution and ultrafast 3D imaging with a compact setup and simple algorithm, which may help discover important applications in biophotonics to visualize high-speed biological events.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Qiang Geng, Zhiqiang Fu, and Shih-Chi Chen "High-resolution 3D light-field imaging," Journal of Biomedical Optics 25(10), 106502 (12 October 2020). https://doi.org/10.1117/1.JBO.25.10.106502
Received: 9 June 2020; Accepted: 24 September 2020; Published: 12 October 2020
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
3D image processing

Image resolution

Deconvolution

Stereoscopy

Imaging systems

3D image reconstruction

Image processing

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