Smart lattice light-sheet microscopy for imaging rare and complex cellular events

被引:0
|
作者
Yu Shi
Jimmy S. Tabet
Daniel E. Milkie
Timothy A. Daugird
Chelsea Q. Yang
Alex T. Ritter
Andrea Giovannucci
Wesley R. Legant
机构
[1] University of North Carolina at Chapel Hill,Joint Department of Biomedical Engineering
[2] Howard Hughes Medical Institute,Janelia Research Campus
[3] University of North Carolina at Chapel Hill,Department of Pharmacology
[4] University of North Carolina at Chapel Hill,Department of Biochemistry and Biophysics
[5] Altos Labs,undefined
来源
Nature Methods | 2024年 / 21卷
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摘要
Light-sheet microscopes enable rapid high-resolution imaging of biological specimens; however, biological processes span spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficult to capture with a single imaging modality. Here, to overcome this limitation, we present smartLLSM, a microscope that incorporates artificial intelligence-based instrument control to autonomously switch between epifluorescent inverted imaging and lattice light-sheet microscopy (LLSM). We apply this approach to two unique processes: cell division and immune synapse formation. In each context, smartLLSM provides population-level statistics across thousands of cells and autonomously captures multicolor three-dimensional datasets or four-dimensional time-lapse movies of rare events at rates that dramatically exceed human capabilities. From this, we quantify the effects of Taxol dose on spindle structure and kinetochore dynamics in dividing cells and of antigen strength on cytotoxic T lymphocyte engagement and lytic granule polarization at the immune synapse. Overall, smartLLSM efficiently detects rare events within heterogeneous cell populations and records these processes with high spatiotemporal four-dimensional imaging over statistically significant replicates.
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页码:301 / 310
页数:9
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