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- Title
High-fidelity optical diffraction tomography of multiple scattering samples.
- Authors
Lim, Joowon; Ayoub, Ahmed B.; Antoine, Elizabeth E.; Psaltis, Demetri
- Abstract
We propose an iterative reconstruction scheme for optical diffraction tomography that exploits the split-step non-paraxial (SSNP) method as the forward model in a learning tomography scheme. Compared with the beam propagation method (BPM) previously used in learning tomography (LT-BPM), the improved accuracy of SSNP maximizes the information retrieved from measurements, relying less on prior assumptions about the sample. A rigorous evaluation of learning tomography based on SSNP (LT-SSNP) using both synthetic and experimental measurements confirms its superior performance compared with that of the LT-BPM. Benefiting from the accuracy of SSNP, LT-SSNP can clearly resolve structures that are highly distorted in the LT-BPM. A serious limitation for quantifying the reconstruction accuracy for biological samples is that the ground truth is unknown. To overcome this limitation, we describe a novel method that allows us to compare the performances of different reconstruction schemes by using the discrete dipole approximation to generate synthetic measurements. Finally, we explore the capacity of learning approaches to enable data compression by reducing the number of scanning angles, which is of particular interest in minimizing the measurement time. Optical Diffraction Tomography: Seeing things in better light The resolution of an imaging technique called optical diffraction tomography (ODT) is improved using a novel software algorithm and learning procedure. ODT is similar to the computerised tomography process of medical CT scanning, or CAT scanning, but using light rather than X-rays. A sample is illuminated from various angles and the phase and intensity of the diffracted light is analysed and processed to generate images of the sample's fine details. Joowon Lim and colleagues led by Demetri Psaltis at the Swiss Federal Institute of Technology in Lausanne refined the technique to produce what they call a "high fidelity" version by using a more sophisticated method for analysing the light beams. The technique is especially useful for imaging complex biological samples such as tissue slices and living cells. Imaging yeast cells demonstrates the increased power that is achieved.
- Publication
Light: Science & Applications, 2019, Vol 8, Issue 1, pN.PAG
- ISSN
2047-7538
- Publication type
Article
- DOI
10.1038/s41377-019-0195-1