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Updated: Jun 6, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

Deep learning of functional perturbations from condensate morphology

Anita Donlic1, Troy J Comi2, Sofia A Quinodoz3

  • 1Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA; Omenn-Darling Bioengineering Institute, Princeton University, Princeton, NJ 08544, USA.

Cell
|June 4, 2026
PubMed

Keywords:
RNA biochemistryRSVTOP1biomolecular condensatedeep learninghigh-content imagingmorphological profilingnuclear specklenucleolus

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