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Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing

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Self-healing spiral phase contrast imaging.

Huacai Wang¹, Quanming Chen², Zhenghao Guo¹

¹National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.

Scientific Reports

|September 2, 2024

Summary

This summary is machine-generated.

A novel self-healing spiral phase contrast imaging technique enhances robustness in optical applications. This method uses a liquid crystal edge detector for improved instant imaging processing of various object types.

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Area of Science:

Optics and Photonics
Image Processing

Background:

Spiral phase contrast imaging extracts geometric features, reducing information load.
Self-healing edge detectors improve robustness against practical application obstacles.

Purpose of the Study:

To propose and demonstrate a self-healing spiral phase contrast imaging scheme.
To integrate self-healing capacity into instant imaging processing.

Main Methods:

Experimental demonstration using a liquid crystal edge detector.
Combining spiral, axicon, and lens phases for phase encoding.
Photopatterning to encode the spiral phase into liquid crystal.

Main Results:

Successful demonstration of self-healing contrast imaging.
Acquisition of edge images for both high-contrast amplitude-type and low-contrast phase-type objects.
Validation of the extended self-healing capacity for instant imaging.

Conclusions:

The proposed scheme effectively extends self-healing capabilities to instant imaging processing.
This work opens avenues for optical applications incorporating self-healing features.
The liquid crystal edge detector provides a robust platform for advanced imaging.