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Texture feature extraction from microscope images enables a robust estimation of ER body phenotype in Arabidopsis.

Arpan Kumar BasakMohamadreza MirzaeiKazimierz StrzałkaKenji Yamada
Published in: Plant methods (2021)
The findings unexpectedly revealed multiple genetic factors that are involved in the shape and size of ER bodies in A. thaliana. This is the first report showing morphological characteristics in addition to the movement of cellular components and it quantitatively summarises plant phenotypic differences even in plants that show similar cellular components. The estimation of morphological diversity was independent of the cell staining method and the objective lens used in the microscopy. Hence, our study enables a robust estimation of plant phenotypes by recognizing small differences in complex cell organelle shapes and their movement, which is beneficial in a comprehensive analysis of the molecular mechanism for cell organelle formation that is independent of technical variations.
Keyphrases
  • single cell
  • cell therapy
  • deep learning
  • optical coherence tomography
  • transcription factor
  • machine learning
  • estrogen receptor
  • bone marrow
  • genome wide
  • mass spectrometry
  • cell wall
  • copy number