Cancer imaging and phenotypic screening among strong implications linked to Popescu and Chen's new wolf phase tomography (WPT) method

8/20/2020 Joseph Park, Illinois ECE

Illinois ECE Professor Gabriel Popescu and his graduate student Xi Chen proposed a method with wolf phase tomography (WPT) that has many strong implications including cancer imaging and phenotypic screening.

Written by Joseph Park, Illinois ECE

Gabriel Popescu
Gabriel Popescu

A study led by Xi Chen, a postdoctoral fellow in Illinois ECE Professor Gabriel Popescu’s group has been recently published in the high impact journal, Light: Science and Applications.

The proposed method, referred to as Wolf phase tomography,  performs diffraction tomography using partially coherent fields to reveal the 3D distributions of refractive indices (RI) of transparent structures. The authors named the technique in honor of the late Emil Wolf, a pioneer in the field of optical coherence.

WPT of sperm cells
WPT of sperm cells
Xi Chen
Xi Chen

The real part of RI determines how light interacts with a medium in terms of scattering. For biological applications, the RI distribution highly correlates with cellular properties such as dry mass and chemical concentrations. Additionally, tissue RI can act as an intrinsic marker for cancer diagnosis through the revelation of nanoscale morphological changes in cells and tissues.

However, extracting the 3D RI distributions of transparent structures is not an easy task. The researchers' WPT method is nondestructive and not limited by the photobleaching and phototoxicity commonly associated with fluorescence microscopy. Furthermore, WPT preserves the diffraction-limited resolution of the microscope without introducing residual fringes and speckles.

The WPT reconstruction directly works in the space-time domain, without the need of a Fourier transformation, and decouples the refractive index distribution from the thickness of the sample. This method can open new avenues for medical applications including phenotypic screening, cellular monitoring, label-free cell classification, cancer histopathology, and 3D imaging of tumor microenvironments.

Image of neuron tomograph
Image of neuron tomograph

Popescu is affiliated with both the Beckman Institute and HMNTL.

Their work is supported by the NSF, NIH, and NCI.

Read their publication here.


Share this story

This story was published August 20, 2020.