
Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Gabriel Popescu (gpopescu@illinois.edu)
Published:2020,
Published Online:19 August 2020,
Received:10 April 2020,
Revised:30 July 2020,
Accepted:03 August 2020
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Chen, X. et al. Wolf phase tomography (WPT) of transparent structures using partially coherent illumination. Light: Science & Applications, 9, 1401-1409 (2020).
Chen, X. et al. Wolf phase tomography (WPT) of transparent structures using partially coherent illumination. Light: Science & Applications, 9, 1401-1409 (2020). DOI: 10.1038/s41377-020-00379-4.
In 1969
Emil Wolf proposed diffraction tomography using coherent holographic imaging to extract 3D information from transparent
inhomogeneous objects. In the same era
the Wolf equations were first used to describe the propagation correlations associated with partially coherent fields. Combining these two concepts
we present Wolf phase tomography (WPT)
which is a method for performing diffraction tomography using partially coherent fields. WPT reconstruction works directly in the space–time domain
without the need for Fourier transformation
and decouples the refractive index (RI) distribution from the thickness of the sample. We demonstrate the WPT principle using the data acquired by a quantitative-phase-imaging method that upgrades an existing phase-contrast microscope by introducing controlled phase shifts between the incident and scattered fields. The illumination field in WPT is partially spatially coherent (emerging from a ring-shaped pupil function) and of low temporal coherence (white light)
and as such
it is well suited for the Wolf equations. From three intensity measurements corresponding to different phase-contrast frames
the 3D RI distribution is obtained immediately by computing the Laplacian and second time derivative of the measured complex correlation function. We validate WPT with measureme
nts of standard samples (microbeads)
spermatozoa
and live neural cultures. The high throughput and simplicity of this method enables the study of 3D
dynamic events in living cells across the entire multiwell plate
with an RI sensitivity on the order of 10
−5
.
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