Ray-tracing image simulations of transparent objects with complex shape and inhomogeneous refractive index

TL;DR

This paper presents high-fidelity ray-tracing simulations of transparent 3D objects with complex shapes and inhomogeneous refractive indices, enabling improved visualization and analysis in optical imaging.

Contribution

The study introduces advanced ray-tracing simulation techniques that accurately reproduce optical behaviors of complex transparent objects, surpassing previous methods.

Findings

Simulations replicate optical features not captured in earlier studies.

The approach can diagnose and refine fluid dynamics models.

Simulated images facilitate extraction of 3D properties from experimental data.

Abstract

Optical images of transparent three-dimensional objects can be different from a replica of the object's cross section in the image plane due to refraction at the surface or in the body of the object. Simulations of the object's image are thus needed for the visualization and validation of physical models. We report ray-tracing image simulations that achieved high physical fidelity, reproducing optical behaviors and image features not rendered in previous studies. We replicated brightfield microscopy images of drops with complex shapes and images of pressure and shock waves traveling inside them. For high physical fidelity, the simulations must replicate the spatial and angular distribution of illumination rays, and both the experiment and the simulation must be designed for accurate optical modeling. The simulations are highly sensitive to the properties of the drops and can be used to diagnose and refine fluid dynamics models. The simulated images can also be optimized to extract multiple 3D properties from experimental images. Compared to specialized single-shot 3D imaging methods, this approach has the advantage that it preserves the experimental simplicity, the high resolution, and the visual interpretability characteristic to basic optical imaging. The techniques introduced here are directly applicable to optical microscopy, so they can be used in other fields, such as microfluidics and biology, to expand the type and the accuracy of three-dimensional information that can be extracted from basic optical images.