ArticlebioRxiv : the preprint server for biology2026
Chromatix: a differentiable, GPU-accelerated wave-optics library.
Diptodip Deb, Gert-Jan Both, Eric Bezzam, Amit Kohli, Siqi Yang, Arney Chaware, Cédric Allier, Changjia Cai, Geneva Anderberg, M Hossein Eybposh and 20 more
Abstract readPreprint
In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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1 · What the graph read from itWhat it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
30 authors.
Eric BezzamAudiovisual Communications Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0003-4837-5031 Amit KohliDepartment of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley CA, USA.ORCID 0000-0002-8328-9465 Siqi YangChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin.ORCID 0009-0008-5899-9327 Changjia CaiDepartment of Applied Physical Sciences, The University of North Carolina at Chapel Hill, Chapel Hill NC, USA.ORCID 0000-0002-1091-5365 M Hossein EybposhDepartment of Applied Physical Sciences, The University of North Carolina at Chapel Hill, Chapel Hill NC, USA.ORCID 0000-0002-3934-1609 Fabrizio A Rivera-SanchezImaging Physics, Faculty of Applied Sciences, Technische Universiteit Delft, Delft, The Netherlands.
Guanghan MengHerbert Wertheim School of Optometry & Vision Science, Department of Electrical Engineering & Computer Science, University of California, Berkeley CA, USA.ORCID 0000-0001-7620-2205 Jovan Tormes-VaqueranoDepartment of Applied Physical Sciences, The University of North Carolina at Chapel Hill, Chapel Hill NC, USA.ORCID 0000-0003-4459-7526 Sibi Chakravarthy ShanmugavelChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin.ORCID 0009-0003-1719-7014 Teja MaruvadaDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD, USA.
Xi YangDepartment of Biomedical Engineering, Duke University, Durham NC, USA.
Yewon KimDepartment of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
Laura WallerDepartment of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley CA, USA.ORCID 0000-0003-1243-2356 Nicolas C PégardDepartment of Applied Physical Sciences, The University of North Carolina at Chapel Hill, Chapel Hill NC, USA.ORCID 0000-0003-2868-7118 Shwetadwip ChowdhuryChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin.ORCID 0000-0002-6142-0231 Funding
Imaging deep-tissue morphogenesis at whole-organism scalesR35GM155424 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Shwetadwip Chowdhury · 2024 to 2026
$1.0MComputational Framework to Enhance Antenna-based Electromagnetic ImagingR21EB033629 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI CHOWDHURY, SHWETADWIP, PORTER, EMILY · 2023 to 2023
$418kNIBIB NIH HHS R21 EB033629NIGMS NIH HHS R35 GM155424
6 · The paper itselfAbstract
Modem microscopy methods incorporate computational modeling as an integral part of the imaging process, either to solve inverse problems or optimize the optical system design itself. These methods often depend on differentiable optics simulations, yet no standardized framework exists-forcing computational optics researchers to repeatedly and independently implement simulations with limited reusability and performance. These common problems limit the potential impact of computational optics as a field. Here we present Chromatix: an open-source, GPU-accelerated, differentiable wave optics simulation library. Chromatix builds on JAX to democratize fast, parallelized simulation of diverse optical systems and expand the design space in computational optics. Chromatix standardizes a growing collection of optical elements and propagation methods allowing a broad range of applications, which we demonstrate here for snapshot microscopy, holography, and phase retrieval. We demonstrate speed improvements of 2-6× on a single GPU and up to 22× on 8 GPUs.
Identifiers
PMID41929201
PMCPMC13042145
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