Compressive holographic sensing simplifies quantitative phase imaging.

Published in: Light, science & applications (2023)

Quantitative phase imaging (QPI) has emerged as method for investigating biological specimen and technical objects. However, conventional methods often suffer from shortcomings in image quality, such as the twin image artifact. A novel computational framework for QPI is presented with high quality inline holographic imaging from a single intensity image. This paradigm shift is promising for advanced QPI of cells and tissues.

Keyphrases

high resolution
image quality
deep learning
mass spectrometry
cell death
machine learning
oxidative stress