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

Journal: Nature methods
Published Date:

Abstract

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.

Authors

  • Yu Shi
    NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois.
  • Jimmy S Tabet
    Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Daniel E Milkie
    Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
  • Timothy A Daugird
    Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Chelsea Q Yang
    Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Alex T Ritter
    Altos Labs, Redwood City, CA, USA.
  • Andrea Giovannucci
    Joint Biomedical Engineering Department, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, USA. agiovann@email.unc.edu.
  • Wesley R Legant
    Joint Department of Biomedical Engineering, UNC, Chapel Hill, NC, USA.