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Machine learning for cross-scale microscopy of viruses.

Anthony Petkidis1, Vardan Andriasyan1, Urs F Greber1

  • 1Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.

Cell Reports Methods
|September 26, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances microscopy techniques, improving the study of virus-host interactions and infection mechanisms. This advancement aids in understanding cellular susceptibility and developing new antiviral therapies.

Keywords:
CP: Microbiology and CP: ImagingSARS-CoV-2adenovirus tracking and traffickingartificial intelligencedeep learningelectron microscopyfluorescence super-resolution microscopyherpes simplex virushuman immunodeficiency virusinfluenza virusmachine learningnanoparticle

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Area of Science:

  • Virology
  • Cell Biology
  • Microscopy
  • Artificial Intelligence

Background:

  • Emerging viruses pose a continuous threat to public health.
  • A comprehensive understanding of cellular susceptibility to viral infections is lacking.
  • Virus-host interactions are complex and influenced by cellular states.

Purpose of the Study:

  • To discuss how artificial intelligence (AI) enhances microscopy for virological research.
  • To highlight AI's role in analyzing microscopy data for understanding virus-host interactions.
  • To showcase AI-driven advancements in studying viral infection mechanisms.

Main Methods:

  • Utilizing light and electron microscopy.
  • Applying machine learning and deep learning algorithms.
  • Implementing AI for image denoising, segmentation, tracking, classification, and super-resolution.

Main Results:

  • AI significantly improves the acquisition and analysis of microscopy data.
  • AI-enhanced microscopy provides molecular resolution of distinct cellular infection stages.
  • Examples demonstrate AI's impact on advancing virological research.

Conclusions:

  • AI-enhanced microscopy is crucial for unraveling virus infection mechanisms.
  • This technology will accelerate the development of antiviral agents.
  • AI-powered microscopy will improve the efficacy of viral vectors.