Compensation of aberration and speckle noise in quantitative phase imaging using lateral shifting and spiral phase integration

Abstract

We present a simple and effective method to eliminate system aberrations and speckle noise in quantitative phase imaging. Using spiral integration, complete information about system aberration is calculated from three laterally shifted phase images. The present method is especially useful when measuring confluent samples in which acquisition of background area is challenging. To demonstrate validity and applicability, we present measurements of various types of samples including microspheres, HeLa cells, and mouse brain tissue. Working conditions and limitations are systematically analyzed and discussed.

References in corpus (3)

• Refractive index tomography with structured illumination
• White-light Quantitative Phase Imaging Unit
• The effects of spatiotemporal coherence on interferometric imaging

Cited by in corpus (4)

• Deep learning approach to coherent noise reduction in optical diffraction tomography
• Low-coherence optical diffraction tomography using a ferroelectric liquid crystal spatial light modulator
• Calibration-free quantitative phase imaging using data-driven aberration modeling
• Speckle-based X-ray microtomography via preconditioned Wirtinger flow