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  XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy

Rodríguez Mangues, C., Arlt, S., Möckl, L., & Krenn, M. (2023). XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy. arXiv, 2310.08408.

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 Creators:
Rodríguez Mangues, Carla1, Author           
Arlt, Sören1, Author
Möckl, Leonhard2, Author           
Krenn, Mario1, Author           
Affiliations:
1Krenn Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society, Staudtstraße 2, 91058 Erlangen, DE, ou_3345237              
2Möckl Research Group, Research Groups, Max Planck Institute for the Science of Light, Max Planck Society, Staudtstraße 2, 91058 Erlangen, DE, ou_3263639              

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Free keywords: Physics, Optics, physics.optics
 Abstract: In this work we introduce XLuminA, an original computational framework designed for the discovery of novel optical hardware in super-resolution microscopy. Our framework offers auto-differentiation capabilities, allowing for the fast and efficient simulation and automated design of entirely new optical setups from scratch. We showcase its potential by re-discovering three foundational experiments, each one covering different areas in optics: an optical telescope, STED microscopy and the focusing beyond the diffraction limit of a radially polarized light beam. Intriguingly, for this last experiment, the machine found an alternative solution following the same physical principle exploited for breaking the diffraction limit. With XLuminA, we can go beyond simple optimization and calibration of known experimental setups, opening the door to potentially uncovering new microscopy concepts within the vast landscape of experimental possibilities.

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Language(s): eng - English
 Dates: 2023-10-12
 Publication Status: Published online
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 Identifiers: arXiv: 2310.08408
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Title: arXiv
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Pages: - Volume / Issue: - Sequence Number: 2310.08408 Start / End Page: - Identifier: -