Quantifying yeast colony morphologies with feature engineering from time-lapse photography

HIGHLIGHTS

• who: Andy Goldschmidt from the DepartmentUniversity of have published the research: Quantifying yeast colony morphologies with feature engineering from time-lapse photography, in the Journal: (JOURNAL) of 12/04/2022
• what: The authors demonstrate the unsupervised categorization of morphology based on complete texture trajectories as shown in Fig 1. By introducing the texture analysis tools from image processing the authors demonstrate feature engineering appropriate for the practical quantification of morphology.
• how: There are a wide variety of machine learning methods for finding clusters once pairwise distances have been obtained in this paper hierarchical . . .
  

   

  

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