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]