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Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

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Accelerated Fourier ptychographic diffraction tomography with sparse annular LED illuminations.

Shun Zhou^1,2,3,4, Jiaji Li^1,2,3,4, Jiasong Sun^1,2,3,4

¹School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China.

Journal of Biophotonics

|November 30, 2021

Summary

Accelerated Fourier ptychographic diffraction tomography (aFPDT) significantly reduces data requirements for 3D refractive index imaging. This label-free technique enables high-resolution, large-field 3D tomograms with faster computational speeds.

Keywords:

Fourier ptychographic diffraction tomography refractive index imaging sparse annular LED illuminations three-dimensional imaging

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Area of Science:

Computational microscopy
Biomedical imaging
Optical tomography

Background:

Fourier ptychographic diffraction tomography (FPDT) is a label-free technique for 3D tomogram reconstruction.
Conventional FPDT requires extensive data acquisition and computational time due to Ewald sphere overlap requirements.

Purpose of the Study:

To develop an accelerated FPDT (aFPDT) method for faster and more data-efficient 3D refractive index (RI) tomography.
To reduce the data requirements and computational time of FPDT while maintaining high-resolution 3D imaging capabilities.

Main Methods:

Implementation of sparse annular light-emitting diode (LED) illuminations.
Utilization of multiplexing illumination strategies.
Development of an iterative algorithm for accelerated 3D RI tomography.

Main Results:

aFPDT reduced data requirements by over 40 times compared to conventional FPDT.
Achieved equivalent high-resolution 3D RI results with significantly reduced data and computation.
Demonstrated successful 3D imaging of various biological samples, including cells and beads.

Conclusions:

aFPDT offers a significant advancement in label-free 3D RI tomography.
The method enables high-resolution, high-throughput imaging with minimal data.
aFPDT holds potential for widespread applications in biomedicine and life sciences.