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.
%0 Journal Article
%1 mahecic2022
%A Mahecic, Dora
%A Stepp, Willi L.
%A Zhang, Chen
%A Griffié, Juliette
%A Weigert, Martin
%A Manley, Suliana
%D 2022
%K imported
%N 10
%P 1262--1267
%R 10.1038/s41592-022-01589-x
%T Event-driven acquisition for content-enriched microscopy
%U https://doi.org/10.1038/s41592-022-01589-x
%V 19
%X 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.
@article{mahecic2022,
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.},
added-at = {2025-01-30T09:24:38.000+0100},
author = {Mahecic, Dora and Stepp, Willi L. and Zhang, Chen and Griffié, Juliette and Weigert, Martin and Manley, Suliana},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/235ccea7214c5cc88df62460d2aa1836d/mawe985g},
doi = {10.1038/s41592-022-01589-x},
interhash = {c5374b1f5db5cb17c25e692abd4d4594},
intrahash = {35ccea7214c5cc88df62460d2aa1836d},
issn = {1548-7105},
journaltitle = {Nature Methods},
keywords = {imported},
number = 10,
pages = {1262--1267},
shortjournal = {Nature Methods},
timestamp = {2025-01-30T09:24:38.000+0100},
title = {Event-driven acquisition for content-enriched microscopy},
url = {https://doi.org/10.1038/s41592-022-01589-x},
volume = 19,
year = 2022
}
