Point-spread function engineering enhances digital Fourier microscopy

TL;DR

This paper demonstrates how engineering the point-spread function can improve the capabilities of digital Fourier microscopy, specifically enhancing differential dynamic microscopy for biological and complex fluid samples.

Contribution

It introduces a novel approach to extend differential dynamic microscopy using point-spread function engineering, validated through experiments and simulations.

Findings

Enhanced sensitivity and resolution in differential dynamic microscopy

Successful demonstration of point-spread function engineering in experiments

Potential for broader application in biological and fluid sample analysis

Abstract

While numerous optical methods exist to probe the dynamics of biological or complex fluid samples, in recent years digital Fourier microscopy techniques, like differential dynamic microscopy, have emerged as ways to efficiently combine elements of imaging and scattering methods. Here, we demonstrate, through experiments and simulations, how point-spread function engineering can be used to extend the reach of differential dynamic microscopy.