Modern microscopy methods increasingly incorporate computational modeling to solve complex imaging problems or optimize system designs. To address the lack of standardized frameworks in this field, researchers have introduced Chromatix, a differentiable wave-optics library. This open-source tool builds on JAX to provide high-performance, GPU-accelerated simulations for diverse optical systems.

Computational optics serves as a critical foundation for advanced medical imaging and biological research. However, many researchers previously faced the burden of building their own simulations from scratch. Consequently, this independent approach often led to limited reusability and suboptimal performance. Chromatix effectively solves these challenges by offering a standardized collection of optical elements and propagation methods. This allows for seamless integration into various imaging workflows.

Scaling Simulations with a Differentiable Wave-Optics Library

The primary advantage of Chromatix lies in its remarkable speed and flexibility. By utilizing GPU acceleration, the library demonstrates speed improvements of 2-6 times on a single GPU and up to 22 times on 8 GPUs. Therefore, it enables the simulation and optimization of complex optical designs that were once computationally impractical. Researchers can now iterate through design spaces much faster than before.

Additionally, the developers have demonstrated the library’s utility in several high-impact areas. These include snapshot microscopy, holography, and phase retrieval. Because the framework is fully differentiable, it is particularly effective for solving inverse problems. For instance, developers can fine-tune system parameters automatically to achieve optimal image reconstruction results. Furthermore, the library is designed to be user-friendly for those familiar with deep learning frameworks.

Frequently Asked Questions

What is the primary purpose of Chromatix?

Chromatix is an open-source library designed to provide a standardized, high-performance framework for differentiable wave-optics simulations using GPU acceleration.

Who can benefit from using this library?

Computational optics researchers, biomedical engineers, and imaging scientists can use Chromatix to speed up the design and optimization of advanced microscopy systems.

Disclaimer: This content is for informational and educational purposes only. It does not constitute medical advice or endorse any specific software for clinical diagnosis. Refer to the latest local and national guidelines for clinical practice.

References

Deb D et al. Chromatix: a differentiable, GPU-accelerated wave-optics library. Nat Methods. 2026 Jun 08. doi: 10.1038/s41592-026-03121-x. PMID: 42260310.

Deb D et al. Chromatix: a differentiable, GPU-accelerated wave-optics library. bioRxiv. 2025. doi: 10.1101/2025.04.29.651152.