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Self-Explained Thinking Agent for Autonomous Microscopy Restoration

2025-08-14

Abstract excerpt

<title>Abstract</title> <p>Choosing image restoration algorithms is ubiquitous when using micoscopy, especially when the image degradation is unknown. However, the process of choosing and tuning algorithms remains labor-intensive, subjective, and bottlenecked by human attention. Most methods remain limited to traditional hand-crafted features or specialist deep models, lacking the ability to generalize to diverse...

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Literature Corpus work
99add6f3-b89a-5845-9bc4-ab05d305ff23
DOI
10.21203/rs.3.rs-7116422/v1
Open publication

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Self-Explained Thinking Agent for Autonomous Microscopy RestorationDOI 10.21203/rs.3.rs-7116422/v1
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