Spectral multiplexing based on multi-distance lensless imaging

TL;DR

This paper introduces a spectral multiplexing technique in multi-distance lensless imaging that reduces data requirements and relaxes stability constraints by exploiting axial diffraction data redundancy.

Contribution

It presents a novel spectral multiplexing method leveraging axial diffraction data, differing from prior radial-based approaches, with improved efficiency and stability.

Findings

Reduces diffraction data needed for spectral multiplexing.

Enhances stability requirements in lensless imaging.

Demonstrates effective reconstruction of spectrally diverse samples.

Abstract

We have demonstrated the capability of spectral multiplexing in multi-distance diffractive imaging, enabling the reconstruction of samples with diverse spectral responses. While previous methods like ptychography utilize redundancy in radial diffraction data to achieve information multiplexing, they typically require capturing a substantial amount of diffraction data. In contrast, our approach effectively harnesses the redundancy information in axial diffraction data. This significantly reduces the amount of diffraction data required and relaxes the stringent requirements on optical path stability.