记者11月6日获悉，天津大学应用数学中心与合成生物学全国重点实验室教授吴华明团队在《自然·通 讯》发表最新研究成果，提出名为"StairLoop"的新型DNA存储方案，显著提升了在高错误率合成环境 下DNA存储的数据恢复能力。 在验证实验中，研究团队成功将代表早期人类文明的甲骨文图像通过电化学合成方式写入DNA链。实 验结果显示，即使面对部分合成区块核苷酸错误率超过6%、序列丢失率超过30%的极端情况，方案仍 能准确解码并完整复原原始图像。 这一突破性进展，为DNA存储技术在高错误率合成环境下的可靠应用提供了可行路径，也推动了DNA 存储从实验室研究向产业化迈出关键一步。 （文章来源：科技日报） 随着全球数据存储需求飞速增长，传统的存储介质逐渐面临瓶颈。DNA因其存储密度高、稳定性强、 环境友好等优势，被视为下一代存储技术的重要方向。然而，DNA存储走向实际应用仍面临合成错误 率高、数据恢复困难等挑战，尤其是在电化学合成等低成本、高通量的技术路径中，错误率和序列丢失 问题尤为突出。 吴华明介绍，该方案通过设计阶梯式交织结构和迭代式软判决解码机制，在不依赖复杂多序列比对的情 况下，有效校正了插入、删除、替换等典 ...

记者10月17日从天津大学获悉，该校应用数学中心与合成生物学国家重点实验室吴华明教授团队在《自然·通讯》发表最新研究成果，提出名 为"StairLoop"的新型DNA存储方案，显著提升了在高错误率合成环境下的数据恢复能力。 图为体外存储实验编码框架。 吴华明介绍，该方案通过设计阶梯式交织结构和迭代式软判决解码机制，在不依赖复杂多序列比对的情况下，有效校正了插入、删除、替换等典型合成错 误，同时具备并行解码能力，有助于实现大规模数据的高效检索。 图为基于置信度传播的行解码器。 在验证实验中，研究团队成功将代表早期人类文明的甲骨文图像通过电化学合成方式写入DNA链。实验结果显示，即使面对部分合成区块核苷酸错误率超 过6%、序列丢失率超过30%的极端情况，StairLoop仍能准确解码并完整复原原始图像。 这一突破性进展，为DNA存储技术在高错误率合成环境下的可靠应用提供了可行路径，也推动了DNA存储从实验室研究向产业化迈出关键一步。 （文章来源：科技日报） 随着全球数据存储需求飞速增长，传统的存储介质逐渐面临瓶颈，DNA因其存储密度高、稳定性强、环境友好等优势，被视为下一代存储技术的重要方 向。然而，DNA存储走 ...

Core Insights - The research team at Tianjin University has developed a new DNA storage system called HELIX, specifically designed for storing biomedical data, achieving the storage and recovery of 60MB of spatiotemporal omics images [1][2] - Traditional storage methods are becoming inadequate in the era of big data, leading to the emergence of DNA information storage technology, which is seen as a potential solution for large-scale data storage [1] - DNA can store hundreds of exabytes of data per gram and can preserve information for thousands of years without power, making it particularly promising for biomedical data applications [1] System Features - HELIX consists of three core modules: image compression, error correction coding, and image restoration, enhancing the system's fault tolerance and recovery capabilities [1][2] - The team optimized existing compression algorithms to address potential base errors during DNA storage, significantly improving the system's robustness [2] - Deep learning techniques were incorporated to enhance the success rate of image decoding and information recovery during the image restoration process [1][2] Experimental Results - In wet lab experiments, the team successfully encoded two 60MB spatiotemporal omics images into 130,000 DNA sequences, each containing 183 bases, and recovered the image data using DNA synthesis and sequencing technology [2] - The HELIX system demonstrated strong robustness, requiring only about 5.8 times the sequencing depth to recover the majority of the image information [2] - This achievement marks a significant step towards the practical application of DNA information storage technology, showcasing superior storage efficiency and reliability [2]

Group 1 - The event "Riding the 'New' Wave - Peking University Science Yeah" showcased cutting-edge scientific achievements from various fields, including photovoltaic materials, AI in mathematics, and DNA storage technology [1][3] - The initiative aims to transform advanced scientific results into engaging stories to stimulate interest in science among youth and the public [1][3] - The first session of the event attracted over one million online viewers, focusing on six major research areas, including intelligent robots and deep space exploration [1] Group 2 - Professor Zhou Huanping from the School of Materials Science and Engineering discussed the advancements in perovskite solar materials and their application prospects [3] - Professor Dong Bin from the Beijing International Center for Mathematical Research presented challenges in building small models and training large language models [3] - Researcher Fu Yi from the School of Basic Medical Sciences explained the current status of cardiovascular diseases in China and their link to atherosclerosis [3] - The event fostered interaction among students and faculty, enhancing knowledge in photovoltaic materials, AI, and biomedical statistics [3]