Fourier ptychography microscopy for digital pathology.

Journal: Journal of microscopy
Published Date: Jun 24, 2025

Abstract

Fourier ptychography microscopy (FPM) has made significant progress since its invention in 2013, thanks to its adaptable nature, high resolution, and vast field-of-view capabilities. FPM is used in various medical applications across multiple optical wavelengths, from automated digital pathology to radiology and ultraviolet label-free imaging. This review explores the fundamental physical and computational concepts that have driven advancements in digital pathology using FPM. A crucial part of the progress has been the development of computational algorithms, which have directly contributed to the improvements in FPM. We evaluate early-stage algorithms like the Gerchberg-Saxton and highlight how phase-retrieval and deep-learning advancements have propelled FPM forward. Additionally, we discuss the impact of these algorithms on digital pathology for potential automated diagnosis, providing a comprehensive explanation of their influence on medical imaging and offering insights into future research directions.

Authors

  • Fraser Eadie
    Department of Biomedical Engineering, Wolfson Building, University of Strathclyde, Glasgow, UK.
  • Laura Copeland
    Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
  • Giuseppe Di Caprio
    Centre for the Cellular Microenvironment, Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK.
  • Gail McConnell
    Department of Physics, SUPA, University of Strathclyde, Glasgow, UK.
  • Akhil Kallepalli
    Department of Biomedical Engineering, Wolfson Building, University of Strathclyde, Glasgow, UK.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals