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Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining.
Yuzhu Li1,2,3, Nir Pillar1,2,3, Tairan Liu1,2,3
1Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.
BME Frontiers
|July 3, 2025
Summary
Virtual staining neural networks offer rapid, high-quality histology for lung and heart transplant biopsies. This digital approach bypasses traditional staining, improving diagnostic efficiency and potentially aiding automated analysis of organ transplant rejection.
Area of Science:
- Computational pathology and digital imaging in transplantation diagnostics.
Background:
- Allograft rejection is a critical complication of organ transplantation, necessitating accurate histological evaluation.
- Traditional histochemical staining is time-consuming, costly, labor-intensive, and limits tissue reuse.
- Variability in staining and handling small biopsy samples can impede accurate pathological analysis.
Purpose of the Study:
- To develop and validate virtual staining neural networks for lung and heart transplant biopsies.
- To digitally convert label-free autofluorescence images into conventional histological stains, bypassing traditional methods.
Main Methods:
- Development of virtual staining neural networks for lung and heart transplant biopsies.
- Digital conversion of autofluorescence microscopy images into virtual hematoxylin and eosin (H&E), Masson's Trichrome (MT), and elastic Verhoeff-Van Gieson stains.
- Blind evaluation of virtual staining quality and diagnostic concordance by board-certified pathologists.
Main Results:
- Virtual staining networks produced high-quality histology images with excellent color uniformity, closely mimicking traditional stains.
- Diagnostic concordance rates of 82.4% for lung and 91.7% for heart biopsies were achieved compared to traditional staining.
- Virtual staining saves tissue, expert time, and costs, while eliminating structural mismatches between adjacent sections.
Conclusions:
- Virtual staining panels offer an effective alternative to conventional histochemical staining for transplant biopsy evaluation.
- This technology can enhance clinical diagnostic workflows for organ transplant rejection.
- Virtual staining has the potential to improve the performance of downstream automated analysis models for transplant biopsies.
