20亿融资带火脑机接口，哪些仪器能“吃”到红利？

Core Viewpoint - The article emphasizes the integration of various scientific instruments from neuroscience, biomedical engineering, and materials science as essential for the development of brain-computer interfaces (BCI) [1]. Group 1: Market Dynamics - Elon Musk announced that his company Neuralink plans to start large-scale production of BCI devices in 2026, increasing the number of electrode channels to 3,000 and aiding the first "blind vision" project participant in restoring low-resolution vision [2]. - The announcement sparked significant enthusiasm in the capital markets, leading to a surge in BCI-related stocks on the first trading day of 2026 in the A-share market, indicating strong market expectations for the commercialization of this technology [2]. - In China, BCI company Qiangnao Technology completed a new financing round of approximately 2 billion yuan, marking the second-largest single financing record globally in this field, after Neuralink [2]. Group 2: Scientific Instruments in BCI - The development, testing, and application of BCI involve multiple stages, including neural signal acquisition, signal processing analysis, and the preparation and validation of implantable devices, necessitating a range of scientific instruments [3]. - The article provides a detailed list of core instruments required in the BCI field, categorized by type and application, highlighting their core principles and representative products [4][5]. - Instruments include non-invasive devices like EEG systems for capturing cortical electrical activity, MEG systems for detecting weak magnetic fields generated by neuronal activity, and fMRI for assessing brain blood oxygen levels [4][5]. - Invasive devices such as microelectrode arrays and deep brain stimulation electrodes are also crucial for direct neural signal recording and therapeutic applications [5][6]. - High-performance workstations and specialized software platforms are essential for real-time decoding and analysis of neural signals, supporting BCI control capabilities [5][6]. Group 3: Applications and Testing - The article discusses various applications of BCI technology, including wearable devices for rehabilitation and the development of closed-loop systems for real-time neural control [7]. - It highlights the importance of testing BCI systems in live animal models to assess long-term stability and performance, with examples of specific experimental setups [7].