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
关键词
D O I
暂无
中图分类号
学科分类号
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.
引用
收藏
页码:301 / 310
页数:9
相关论文
共 50 条
  • [21] Multimodal light-sheet microscopy for fluorescence live imaging
    Oshima, Y.
    Kajiura-Kobayashi, H.
    Nonaka, S.
    THREE-DIMENSIONAL AND MULTIDIMENSIONAL MICROSCOPY: IMAGE ACQUISITION AND PROCESSING XIX, 2012, 8227
  • [22] Light-sheet optimization for microscopy
    Wilding, Dean
    Pozzi, Paolo
    Soloviev, Oleg
    Vdovin, Gleb
    Verhaegen, Michel
    ADAPTIVE OPTICS AND WAVEFRONT CONTROL FOR BIOLOGICAL SYSTEMS II, 2016, 9717
  • [23] Light-sheet microscopy on AutoPilot
    Nature Methods, 2017, 14 : 11 - 11
  • [24] Lattice light-sheet microscopy allows for super- resolution imaging of receptors in leaf tissue
    Traeger, Jeremiah
    Yang, Mengran
    Stacey, Gary
    Orr, Galya
    Hu, Dehong
    BIOPHYSICAL JOURNAL, 2025, 124 (03) : 574 - 585
  • [25] Subvoxel light-sheet microscopy
    Graydon, Oliver
    NATURE PHOTONICS, 2019, 13 (03) : 139 - 139
  • [26] Subvoxel light-sheet microscopy
    Oliver Graydon
    Nature Photonics, 2019, 13 : 139 - 139
  • [27] The light-sheet microscopy revolution
    Girkin, J. M.
    Carvalho, M. T.
    JOURNAL OF OPTICS, 2018, 20 (05)
  • [28] Light-Sheet Microscopy in Neuroscience
    Hillman, Elizabeth M. C.
    Voleti, Venkatakaushik
    Li, Wenze
    Yu, Hang
    ANNUAL REVIEW OF NEUROSCIENCE, VOL 42, 2019, 42 : 295 - +
  • [29] Tunable light-sheet microscopy
    Rita Strack
    Nature Methods, 2016, 13 : 472 - 472
  • [30] Light-sheet microscopy on AutoPilot
    不详
    NATURE MATERIALS, 2015, 14 (01) : 11 - 11