# Characterization Method for 3D Substructure of Nuclear Cell Based on Orthogonal Phase Images

**Authors:** Ying Ji, Minjie Liang, Tingting Hua, Yuanyuan Xu, Zhiduo Xin, Yawei Wang

PMC · DOI: 10.1155/2015/917640 · BioMed Research International · 2015-08-18

## TL;DR

This paper introduces a method to characterize the 3D substructure of nuclear cells using phase images from two directions, enabling quick identification of cells without scanning.

## Contribution

A novel characterization method using inflexion curves and orthogonal phase images to describe nuclear cell substructures.

## Key findings

- Phase mutations on cell boundaries are captured using orthogonal phase images.
- The inflexion curve method accurately describes nuclear cell size and morphology.
- Simulation results validate the method's effectiveness for cell identification.

## Abstract

A set of optical models associated with blood cells are introduced in this paper. All of these models are made up of different parts possessing symmetries. The wrapped phase images as well as the unwrapped ones from two orthogonal directions related to some of these models are obtained by simulation technique. Because the phase mutation occurs on the boundary between nucleus and cytoplasm as well as on the boundary between cytoplasm and environment medium, the equation of inflexion curve is introduced to describe the size, morphology, and substructure of the nuclear cell based on the analysis of the phase features of the model. Furthermore, a mononuclear cell model is discussed as an example to verify this method. The simulation result shows that characterization with inflexion curve based on orthogonal phase images could describe the substructure of the cells availably, which may provide a new way to identify the typical biological cells quickly without scanning.

## Full-text entities

- **Diseases:** phototoxic (MESH:D017484)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

14 references — full list in the complete paper: https://tomesphere.com/paper/PMC4555359/full.md

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Source: https://tomesphere.com/paper/PMC4555359