Published October 1, 2024 | Published
Journal Article Open

Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon University of California, Berkeley

Abstract

Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or surgery samples, significantly facilitating pathological analysis and clinical diagnosis. Such high-quality images that enable detailed visualization of cellular and tissue structures are essential for effective patient care and treatment planning. To obtain such high-quality images for pathology applications, there is a need for scanners with high spatial bandwidth products, free from aberrations, and without the requirement for z-scanning. Here we report a whole slide imaging system based on angular ptychographic imaging with a closed-form solution (WSI-APIC), which offers efficient, tens-of-gigapixels, large-FOV, aberration-free imaging. WSI-APIC utilizes oblique incoherent illumination for initial high-level segmentation, thereby bypassing unnecessary scanning of the background regions and enhancing image acquisition efficiency. A GPU-accelerated APIC algorithm analytically reconstructs phase images with effective digital aberration corrections and improved optical resolutions. Moreover, an auto-stitching technique based on scale-invariant feature transform ensures the seamless concatenation of whole slide phase images. In our experiment, WSI-APIC achieved an optical resolution of 772 nm using a 10×/0.25 NA objective lens and captures 80-gigapixel aberration-free phase images for a standard 76.2 mm × 25.4 mm microscopic slide.

Copyright and License

© 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Funding

Rothenberg Innovation Initiative (RI2) in conjunction with the Hagopian Innovation Prize (25570017); Heritage Research Institute for the Advancement of Medicine and Science at Caltech (HMRI-15-09-01).

Acknowledgement

We would like to thank Dr. Mark Watson and Dr. Richard Cote at School of Medicine, Washington University of St. Louis for providing non-small-cell lung cancer samples.

Data Availability

The code and example data will be available on GitHub. The complete dataset is available upon reasonable request from the corresponding authors.

S. Zhao, H. Zhou, S. S. Lin, et al., “Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution,” Github, (2024), https://github.com/Magishe/WSI-APIC

Supplemental Material

See Supplement 1 for supporting content:  Supplementary document for Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution - 7177988.pdf

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Additional details

Created:
October 23, 2024
Modified:
October 23, 2024