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Smart lattice light-sheet microscopy for imaging rare and complex cellular events.
Shi, Yu; Tabet, Jimmy S; Milkie, Daniel E; Daugird, Timothy A; Yang, Chelsea Q; Ritter, Alex T; Giovannucci, Andrea; Legant, Wesley R.
Afiliação
  • Shi Y; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Tabet JS; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Milkie DE; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
  • Daugird TA; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Yang CQ; Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Ritter AT; Altos Labs, Redwood City, CA, USA.
  • Giovannucci A; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. andrea.giovannucci@gmail.com.
  • Legant WR; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. legantw@email.unc.edu.
Nat Methods ; 21(2): 301-310, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38167656
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Microscopia Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Microscopia Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article