# Tensorial tomographic differential phase-contrast microscopy

arXiv: https://arxiv.org/abs/2204.11397 · HTML: https://mlsanity.com/paper/2204.11397/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 49 references that are in the map.
- First posted on arXiv 25 Apr 2022.

## Builds on (most cited first, 5 of 5)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [Diffraction tomography with a deep image prior](https://mlsanity.com/paper/1912.05330/) (2019)
- [Deep learning-based holographic polarization microscopy](https://mlsanity.com/paper/2007.00741/) (2020)
- [Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm](https://mlsanity.com/paper/1811.00120/) (2018)
- [Quantitative Jones matrix imaging using vectorial Fourier ptychography](https://mlsanity.com/paper/2110.00076/) (2021)

## Built on by (most cited first, 1 of 1)

- [Structured 3D-SVD: A Practical Framework for the Compression and Reconstruction of Biological Volumetric Images](https://mlsanity.com/paper/2604.16947/) (2026)

## Abstract (arXiv)

We report Tensorial Tomographic Differential Phase-Contrast microscopy (T2DPC), a quantitative label-free tomographic imaging method for simultaneous measurement of phase and anisotropy. T2DPC extends differential phase-contrast microscopy, a quantitative phase imaging technique, to highlight the vectorial nature of light. The method solves for permittivity tensor of anisotropic samples from intensity measurements acquired with a standard microscope equipped with an LED matrix, a circular polarizer, and a polarization-sensitive camera. We demonstrate accurate volumetric reconstructions of refractive index, birefringence, and orientation for various validation samples, and show that the reconstructed polarization structures of a biological specimen are predictive of pathology.