科学仪器 硬核利器（科技瞭望）

Group 1: Overview of Scientific Instrumentation in China - The article highlights the significant advancements in China's scientific instrumentation, showcasing a transition from basic development to achieving international competitiveness in high-end instruments [1][2] - A recent event at the National Science Communication Center featured three innovative scientific instruments recommended by the Chinese Society of Instrumentation [1] Group 2: Space Life Science Instruments - The "Space Life Science Instrument" developed by the Shanghai Institute of Technical Physics is designed to support life science experiments in space, addressing challenges such as microgravity and extreme environmental conditions [2][3] - This instrument has successfully completed over 40 space life science tasks since its launch in July 2022, marking a shift from simple experiments to complex system research [2][4] - Key features include a closed life support system, AI-driven in-situ observation, and automated precision control, which are essential for maintaining the necessary conditions for various life forms [3][4] Group 3: Low-Temperature Scanning Probe Microscopy - The development of a helium-free low-temperature scanning probe microscope system represents a significant advancement in nanoscience research, eliminating reliance on imported helium and reducing operational costs [5][6] - This system maintains temperatures below 3K (approximately -270.15°C) using a novel remote liquefaction cooling technology, allowing for long-term stable operation [6] - The technology has been adopted by several universities in China, contributing to various cutting-edge research outcomes [6] Group 4: Visual Inspection Technology for Chip Packaging Substrates - The article discusses the importance of chip packaging substrates in modern electronics and the challenges faced in their defect detection, which has historically relied on manual inspection [7][8] - A team from Northeast University has developed an AI-based visual inspection technology that enables intelligent identification and precise classification of micro and nano-level defects [8][9] - The team has collected over 140,000 data samples to train AI models, significantly improving defect detection efficiency and quality in the chip packaging industry [8][9]