Article

ParSeek: Accurate cryo-EM particle picking with a deep learning model trained on synthetic data

2026-05-11

Abstract excerpt

Accurate particle picking from noisy cryo-EM micrographs is essential for high-resolution reconstruction. Current deep learning methods rely on manually annotated data, which is labor-intensive, subjective, and limits particle recall under low signal-to-noise ratio (SNR). Here we introduce ParSeek, an automated picker trained entirely on synthetic data without human annotation. Synthetic micrographs are generated...

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Literature Corpus work: 97b993d7-8e87-577f-ad2f-f4bdbee6d26b
DOI: 10.64898/2026.05.07.720949

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