Rewritable two-dimensional DNA-based data storage with machine learning reconstruction.
Rewritable two-dimensional DNA-based data storage with machine learning reconstruction.
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DOI：
10.1038/s41467-022-30140-x
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发表时间：
2022-05-27
影响因子：
16.6
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中科院分区：
文献类型：
--
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基于DNA的数据存储平台传统上仅在分子的核苷酸序列中编码信息。在此我们报道一种二维分子数据存储系统，它在DNA的序列和主链结构中记录信息，并执行重要的联合数据编码、解码和处理。我们的2DDNA方法有效地将图像存储在合成DNA中，并将相关元数据作为DNA主链中的缺口嵌入。为避免纠正测序/重写错误时昂贵的最坏情况冗余，并缓解与解码参数不匹配相关的问题，我们开发了用于自动变色检测和图像修复的机器学习技术。通过在读出处理后重建视觉退化不可察觉或很小的图像库，以及擦除和重写编码在缺口中的版权元数据，对2DDNA平台进行了实验测试。我们的结果表明，DNA既可以作为异构数据的一次性写入存储器，也可以作为可重写存储器，并且数据可以以一种永久的、保护隐私的方式被擦除。此外，该存储系统可以在避免全局纠错冗余的同时，对信道质量下降具有鲁棒性。
当前基于DNA的数据存储平台仅在核苷酸序列中编码信息。在此，作者报道了一种2DDNA平台，它可以在序列环境和主链结构中存储数据，并通过自动变色检测和深度学习改进了图像修复和增强。
DNA-based data storage platforms traditionally encode information only in the nucleotide sequence of the molecule. Here we report on a two-dimensional molecular data storage system that records information in both the sequence and the backbone structure of DNA and performs nontrivial joint data encoding, decoding and processing. Our 2DDNA method efficiently stores images in synthetic DNA and embeds pertinent metadata as nicks in the DNA backbone. To avoid costly worst-case redundancy for correcting sequencing/rewriting errors and to mitigate issues associated with mismatched decoding parameters, we develop machine learning techniques for automatic discoloration detection and image inpainting. The 2DDNA platform is experimentally tested by reconstructing a library of images with undetectable or small visual degradation after readout processing, and by erasing and rewriting copyright metadata encoded in nicks. Our results demonstrate that DNA can serve both as a write-once and rewritable memory for heterogenous data and that data can be erased in a permanent, privacy-preserving manner. Moreover, the storage system can be made robust to degrading channel qualities while avoiding global error-correction redundancy. Current DNA-based data storage platforms encode information only in the nucleotide sequence. Here, the authors report a 2DDNA platform that can store data in both sequence context and backbone structure, and has improved image inpainting and enhancement via automatic discoloration detection and deep learning.
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