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<p>As the localization precision of single-molecule localization microscopy (SMLM) advances, labeling uncertainty from linkage errors increasingly limits imaging accuracy. The distributions of these errors across common labeling strategies remain unclear, complicating corrections. In this study, we used MINFLUX, with a localization precision of 1-3 nm, to examine the probability distributions of linkage errors across three antibody labeling strategies: nanobody labeling, primary “Y” antibody labeling, and primary antibody with secondary antibody labeling. We found that the distribution of linkage errors for each strategy deviates from a normal distribution, exhibiting left skewness and a flattened shape. These distributions also vary in skewness and kurtosis between strategies, and the range of linkage error values partially overlaps between strategies. Simulations confirmed our experimental findings, revealing that antibody size and geometric orientation jointly influence linkage errors. Our results provide insight into the mechanisms driving linkage errors and suggest statistical approaches to enhance SMLM imaging accuracy.</p>

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MINFLUX reveals nonnormal distribution of linkage errors in immunofluorescence labeling

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月13日

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  • Jing Wang,
  • Huihui Zou,
  • Xinyi Fu,
  • Changgui Gu,
  • Longfang Yao,
  • Shu Li,
  • Qiming Zhang,
  • Min Gu

摘要

As the localization precision of single-molecule localization microscopy (SMLM) advances, labeling uncertainty from linkage errors increasingly limits imaging accuracy. The distributions of these errors across common labeling strategies remain unclear, complicating corrections. In this study, we used MINFLUX, with a localization precision of 1-3 nm, to examine the probability distributions of linkage errors across three antibody labeling strategies: nanobody labeling, primary “Y” antibody labeling, and primary antibody with secondary antibody labeling. We found that the distribution of linkage errors for each strategy deviates from a normal distribution, exhibiting left skewness and a flattened shape. These distributions also vary in skewness and kurtosis between strategies, and the range of linkage error values partially overlaps between strategies. Simulations confirmed our experimental findings, revealing that antibody size and geometric orientation jointly influence linkage errors. Our results provide insight into the mechanisms driving linkage errors and suggest statistical approaches to enhance SMLM imaging accuracy.