RESUMO
Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumor margin detection, and disease diagnosis. Producing H&E sections, however, is invasive and time-consuming. While deep learning has shown promise in virtual staining of unstained tissue slides, true virtual biopsy requires staining of images taken from intact tissue. In this work, we developed a micron-accuracy coregistration method [micro-registered optical coherence tomography (OCT)] that can take a two-dimensional (2D) H&E slide and find the exact corresponding section in a 3D OCT image taken from the original fresh tissue. We trained a conditional generative adversarial network using the paired dataset and showed high-fidelity conversion of noninvasive OCT images to virtually stained H&E slices in both 2D and 3D. Applying these trained neural networks to in vivo OCT images should enable physicians to readily incorporate OCT imaging into their clinical practice, reducing the number of unnecessary biopsy procedures.
Assuntos
Redes Neurais de Computação , Tomografia de Coerência Óptica , Humanos , Tomografia de Coerência Óptica/métodos , Biópsia , Imageamento TridimensionalRESUMO
Optical-resolution photoacoustic microscopy (OR-PAM) can visualize wavelength-dependent optical absorption at the cellular level. However, OR-PAM suffers from a limited depth of field (DOF) due to the tight focus of the optical excitation beam, making it challenging to acquire high-resolution images of samples with uneven surfaces or high-quality volumetric images without z-scanning. To overcome this limitation, we propose needle-shaped beam photoacoustic microscopy (NB-PAM), which can extend the DOF to up to ~28-fold Rayleigh lengths via customized diffractive optical elements (DOEs). The DOE generate a needle beam with a well-maintained beam diameter, a uniform axial intensity distribution, and negligible sidelobes. The advantage of using NB-PAM is demonstrated by both histology-like imaging of fresh slide-free organs using a 266 nm laser and in vivo mouse brain vasculature imaging using a 532 nm laser. The approach provides new perspectives for slide-free intraoperative pathological imaging and in-vivo organ-level imaging.