ArticleiScience2023
Rapid and label-free histological imaging of unprocessed surgical tissues via dark-field reflectance ultraviolet microscopy.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Quantitative comparison of different mounting media for transmissive DUV imaging of label-free biological specimens.Biomedical optics express · 2026Article
- Artificial intelligence assisted multi-model pathological diagnosis of breast cancer based on multispectral autofluorescence images.NPJ breast cancer · 2026Article
- Mid-infrared microscopy for label-free digital staining: initial clinical assessment.Frontiers in bioengineering and biotechnology · 2026Article
- Deep UV laser scanning microscopy with integrated 1050 nm spectral-domain optical coherence tomography for multi-contrast tissue imaging.Biomedical optics express · 2025Article
- Label-free surface sectioning deep ultraviolet tissue imaging in multimodalities.Biomedical optics express · 2025Article
- Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning.Science advances · 2025Article
- Deep learning-assisted low-cost autofluorescence microscopy for rapid slide-free imaging with virtual histological staining.Biomedical optics express · 2024Article
- Article
- Harnessing the power of optical microscopy for visualization and analysis of histopathological images.Biomedical optics express · 2023Review
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Authors and funding
14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Routine examination for intraoperative histopathologic assessment is lengthy and laborious. Here, we present the dark-field reflectance ultraviolet microscopy (DRUM) that enables label-free imaging of unprocessed and thick tissues with subcellular resolution and a high signal-to-background ratio. To the best of our knowledge, DRUM provides image results for pathological assessment with the shortest turnaround time (2-3 min in total from sample preparation to tissue imaging). We also proposed a virtual staining process to convert DRUM images into pseudo-colorized images and enhance the image familiarity of pathologists. By imaging various tissues, we found DRUM can resolve cell nuclei and some extranuclear features, which are comparable to standard H&E images. Furthermore, the essential diagnostic features of intraoperatively excised tumor tissues also can be revealed by DRUM, demonstrating its potential as an additional aid for intraoperative histopathology.
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