High-Data-Density, High-Decoding-Speed, and High-Decoding-Accuracy DNA Data Ink for Digital Preservation

DNA-based storage offers exceptional information density, durability, and energy efficiency compared to conventional digital media, yet practical implementation faces challenges including high synthesis costs, sequencing errors, and slow access speeds. Here, we present an integrated DNA storage system with optimized encoding and processing strategies to address practical implementation issues. Our approach achieves 9.78 bits/nt net information density with a flexible index allocation system handling data volume from 0.37 KB to 2.79 × 10<sup>22</sup> YB. The decoding process delivers 360× faster throughput than traditional methods, processing 4.57 million reads (1.63 GB) in 34.5 s and demonstrating perfect data retrieval from down-sampled (×5.33) sequencing in 2.47 s. Our error correction system combines inner Reed-Solomon with outer XOR code, ensuring reliable recovery with large reading sequences (92,626) and low copy number data (×0.52). The streamlined NGS preparation workflow reduces processing time from ∼4.5 to ∼2 h while decreasing per-sample costs from ∼$60 to ∼$0.50. The system demonstrates versatility through high-fidelity DNA data storage ink and implementations ranging from physical stamps to VR platforms. This technology establishes a foundation for practical DNA data storage solutions applicable to cultural heritage preservation, autonomous vehicle data management, and matrix-based machine learning applications.

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Publication Details

Journal
ACS Nano
Published
2026-01-21
DOI
https://doi.org/10.1021/acsnano.5c13665
Primary Topic
DNA and Biological Computing
Type
article
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article

High-Data-Density, High-Decoding-Speed, and High-Decoding-Accuracy DNA Data Ink for Digital Preservation

Taeseok Kang, Doyeon Lim, Jinchul Kim, Youngjun Song et al.
ACS Nano
DNA and Biological Computing
article

High-Data-Density, High-Decoding-Speed, and High-Decoding-Accuracy DNA Data Ink for Digital Preservation

Taeseok Kang, Doyeon Lim, Jinchul Kim, Youngjun Song, Jungwoo Kim, Wonjin Lee
article en

Abstract

DNA-based storage offers exceptional information density, durability, and energy efficiency compared to conventional digital media, yet practical implementation faces challenges including high synthesis costs, sequencing errors, and slow access speeds. Here, we present an integrated DNA storage system with optimized encoding and processing strategies to address practical implementation issues. Our approach achieves 9.78 bits/nt net information density with a flexible index allocation system handling data volume from 0.37 KB to 2.79 × 10<sup>22</sup> YB. The decoding process delivers 360× faster throughput than traditional methods, processing 4.57 million reads (1.63 GB) in 34.5 s and demonstrating perfect data retrieval from down-sampled (×5.33) sequencing in 2.47 s. Our error correction system combines inner Reed-Solomon with outer XOR code, ensuring reliable recovery with large reading sequences (92,626) and low copy number data (×0.52). The streamlined NGS preparation workflow reduces processing time from ∼4.5 to ∼2 h while decreasing per-sample costs from ∼$60 to ∼$0.50. The system demonstrates versatility through high-fidelity DNA data storage ink and implementations ranging from physical stamps to VR platforms. This technology establishes a foundation for practical DNA data storage solutions applicable to cultural heritage preservation, autonomous vehicle data management, and matrix-based machine learning applications.

ACS NanoVol. 20(4)
Incheon National University (KR), University of California San Diego (US), BioElectronics (United States) (US), Korea Research Institute of Bioscience and Biotechnology (KR)
Affordable and clean energy
Openalex Percentile: Top 82%
DNA and Biological Computing
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High-Data-Density, High-Decoding-Speed, and High-Decoding-Accuracy DNA Data Ink for Digital Preservation — Taeseok Kang, Doyeon Lim, et al. · ACS Nano (2026) | TGRS Research Map | TGRS