Publication | Open Access
Multiscale label-free volumetric holographic histopathology of thick-tissue slides with subcellular resolution
54
Citations
36
References
2021
Year
Subcellular ResolutionEngineeringMicroscopyDigital PathologyAdvanced ImagingPathologyBiomedical EngineeringEndoscopic ImagingTissue ImagingComputational ImagingSpatial ResolutionNovel Imaging MethodRadiologyImaging AnatomyMedical ImagingMedicineHistopathologyPrecursor LesionsMedical Image ComputingComputational Optical ImagingOptical ImagingMicroscope Image ProcessingBiomedical ImagingQuantitative Phase ImagingThick-tissue SlidesCell DetectionImagingTomography3D ImagingLabel-free Volumetric Imaging
Histopathology relies upon the staining and sectioning of biological tissues, which can be laborious and may cause artifacts and distort tissues. We develop label-free volumetric imaging of thick-tissue slides, exploiting refractive index distributions as intrinsic imaging contrast. The present method systematically exploits label-free quantitative phase imaging techniques, volumetric reconstruction of intrinsic refractive index distributions in tissues, and numerical algorithms for the seamless stitching of multiple three-dimensional tomograms and for reducing scattering-induced image distortion. We demonstrated label-free volumetric imaging of thick tissues with the field of view of 2 mm × 1.75 mm × 0.2 mm with a spatial resolution of 170 nm × 170 nm × 1400 nm. The number of optical modes, calculated as the reconstructed volume divided by the size of the point spread function, was ∼20 giga voxels. We have also demonstrated that different tumor types and a variety of precursor lesions and pathologies can be visualized with the present method.
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