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Preprocessing methods for quantitative phase image stitching.

Piotr StȩpieńWojciech KrauzeMałgorzata Kujawińska
Published in: Biomedical optics express (2021)
Quantitative phase imaging of cell cultures and histopathological slides often requires measurements in large fields of view which is realized through the stitching of multiple high resolution phase maps. Due to the characteristic properties of phase images, careful preprocessing is crucial for maintaining the metrological value of the stitched phase image. In this work, we present various methods that address those properties. Our efforts are focused on increasing robustness to minimize error propagation in consecutive preprocessing steps.
Keyphrases
  • high resolution
  • deep learning
  • single cell
  • stem cells
  • mesenchymal stem cells
  • convolutional neural network