标题： 用于以较低数据吞吐量跟踪被动和主动物质的类脑相机 显示英文标题

标题： A neuromorphic camera for tracking passive and active matter with lower data throughput

摘要： 我们展示了使用神经形态或事件驱动相机（EBC）跟踪被动物质和主动物质的优势。 对于被动物质，我们追踪了不同微粒的布朗运动并估算了它们的扩散系数。 对于主动物质，我们研究了追踪小鼠精子的情况，并从细胞运动中提取了运动参数。 这在提高临床生育治疗结果方面有应用。 使用EBC，我们获得了与sCMOS相机相当的结果，但文件大小减少了两个数量级。 这在现代计算机时代非常重要，因为它减少了数据吞吐量，并且与边缘计算应用非常吻合。 我们认为EBC是一个很好的选择，特别是对于主动物质的长期研究。 显示英文摘要

摘要： We demonstrate the merits of using a neuromorphic, or event-based camera (EBC), for tracking of both passive and active matter. For passive matter, we tracked the Brownian motion of different micro-particles and estimated their diffusion coefficient. For active matter, we explored the case of tracking murine spermatozoa and extracted motility parameters from the motion of cells. This has applications in enhancing outcomes for clinical fertility treatments. Using the EBC, we obtain results equivalent to those from an sCMOS camera, yet achieve a reduction in file size of up to two orders of magnitude. This is important in the modern computer era, as it reduces data throughput, and is well-aligned with edge-computing applications. We believe the EBC is an excellent choice, particularly for long-term studies of active matter.