DeepFocus: fast focus and astigmatism correction for electron microscopy

Abstract High-throughput 2D and 3D scanning electron microscopy, which relies on automation and dependable control algorithms, requires high image quality with minimal human intervention. Classical focus and astigmatism correction algorithms attempt to explicitly model image formation and subsequent...

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Main Authors: P. J. Schubert, R. Saxena, J. Kornfeld
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-45042-3
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author P. J. Schubert
R. Saxena
J. Kornfeld
author_facet P. J. Schubert
R. Saxena
J. Kornfeld
author_sort P. J. Schubert
collection DOAJ
description Abstract High-throughput 2D and 3D scanning electron microscopy, which relies on automation and dependable control algorithms, requires high image quality with minimal human intervention. Classical focus and astigmatism correction algorithms attempt to explicitly model image formation and subsequently aberration correction. Such models often require parameter adjustments by experts when deployed to new microscopes, challenging samples, or imaging conditions to prevent unstable convergence, making them hard to use in practice or unreliable. Here, we introduce DeepFocus, a purely data-driven method for aberration correction in scanning electron microscopy. DeepFocus works under very low signal-to-noise ratio conditions, reduces processing times by more than an order of magnitude compared to the state-of-the-art method, rapidly converges within a large aberration range, and is easily recalibrated to different microscopes or challenging samples.
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spelling doaj.art-bea499603ae242b8932d996abb2ba0f82024-03-05T19:37:14ZengNature PortfolioNature Communications2041-17232024-01-0115111010.1038/s41467-024-45042-3DeepFocus: fast focus and astigmatism correction for electron microscopyP. J. Schubert0R. Saxena1J. Kornfeld2Max Planck Institute for Biological IntelligenceMax Planck Institute for Biological IntelligenceMax Planck Institute for Biological IntelligenceAbstract High-throughput 2D and 3D scanning electron microscopy, which relies on automation and dependable control algorithms, requires high image quality with minimal human intervention. Classical focus and astigmatism correction algorithms attempt to explicitly model image formation and subsequently aberration correction. Such models often require parameter adjustments by experts when deployed to new microscopes, challenging samples, or imaging conditions to prevent unstable convergence, making them hard to use in practice or unreliable. Here, we introduce DeepFocus, a purely data-driven method for aberration correction in scanning electron microscopy. DeepFocus works under very low signal-to-noise ratio conditions, reduces processing times by more than an order of magnitude compared to the state-of-the-art method, rapidly converges within a large aberration range, and is easily recalibrated to different microscopes or challenging samples.https://doi.org/10.1038/s41467-024-45042-3
spellingShingle P. J. Schubert
R. Saxena
J. Kornfeld
DeepFocus: fast focus and astigmatism correction for electron microscopy
Nature Communications
title DeepFocus: fast focus and astigmatism correction for electron microscopy
title_full DeepFocus: fast focus and astigmatism correction for electron microscopy
title_fullStr DeepFocus: fast focus and astigmatism correction for electron microscopy
title_full_unstemmed DeepFocus: fast focus and astigmatism correction for electron microscopy
title_short DeepFocus: fast focus and astigmatism correction for electron microscopy
title_sort deepfocus fast focus and astigmatism correction for electron microscopy
url https://doi.org/10.1038/s41467-024-45042-3
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