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Life Beyond the Pixels: Deep Learning Methods for Single Cell Analysis

Webinar on-demand

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Our guest speaker Prof. Dr. Peter Horvath presents his work on single cell-based large-scale microscopy experiments. This novel targeting approach includes the use of machine learning models and ultimately enables successful DNA and RNA sequencing, proteomics, lipidomics and targeted electrophysiology measurement on selected cells.

Key Learnings

  • A novel microscopic image correction method designed to eliminate illumination and uneven background effects
  • New single-cell image segmentation methods using differential geometry, energy minimization and deep learning methods
  • The Advanced Cell Classifier (ACC), a machine learning software tool capable of identifying cellular phenotypes based on features extracted from the image

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