研发事件驱动多样显微镜采集系统，这一成果由瑞士洛桑联邦理工学院Suliana Manley、Dora Mahecic课题组经过不懈努力而取得。2022年9月8日出版的《自然-方法学》杂志发表了这项成果。

研究人员研发了一个事件驱动的采集程序，其中基于神经网络的特定生物事件识别，触发即时结构化照明显微镜中的实时控制。研究人员通过设置检测事件发生时的慢成像速率，和事件进展过程中快速成像速率之间的切换来动态调整采集。因此，研究人员通过调整与其动态时间尺度相匹配的成像速率对线粒体和细菌分裂进行检测，同时延长整体成像持续时间。因为事件驱动采集显微镜可以专门响应复杂的生物事件，所以它采集的数据富含相关内容。

据介绍，荧光显微镜的目的是收集有关特定生物事件的数据。然而，在样本中收集到与特定事件相关的内容有限，特别是对于稀有或随机过程。这部分是由于光漂白和光毒性，它们限制了成像速度和持续时间。

附：英文原文

Title: Event-driven acquisition for content-enriched microscopy

Author: Mahecic, Dora, Stepp, Willi L., Zhang, Chen, Griffi, Juliette, Weigert, Martin, Manley, Suliana

Issue&Volume: 2022-09-08

Abstract: A common goal of fluorescence microscopy is to collect data on specific biological events. Yet, the event-specific content that can be collected from a sample is limited, especially for rare or stochastic processes. This is due in part to photobleaching and phototoxicity, which constrain imaging speed and duration. We developed an event-driven acquisition framework, in which neural-network-based recognition of specific biological events triggers real-time control in an instant structured illumination microscope. Our setup adapts acquisitions on-the-fly by switching between a slow imaging rate while detecting the onset of events, and a fast imaging rate during their progression. Thus, we capture mitochondrial and bacterial divisions at imaging rates that match their dynamic timescales, while extending overall imaging durations. Because event-driven acquisition allows the microscope to respond specifically to complex biological events, it acquires data enriched in relevant content.

DOI: 10.1038/s41592-022-01589-x

Source: https://www.nature.com/articles/s41592-022-01589-x