We demonstrate a rapid deep ultraviolet transmission and scattering microscopy system which utilizes a single 266 nm nanosecond pulsed laser source to generate virtual histology images. By detecting both the transmitted and back-scattered 266 nm radiation, distinct contrasts of the tissue section are produced. Maximally realistic virtual histology images are then generated using each contrast as separate inputs to a CycleGAN deep neural network. This work demonstrates virtual histology images of mm-scale areas at fine resolutions (< 500 nm) within minutes. This system greatly simplifies the optics and alignment required for imaging, and could provide future utility for clinical studies.
Ultraviolet photacoustic remote sensing (UV-PARS) microscopy is a non-contact, label-free imaging modality which has demonstrated the ability to generate virtual histology images that show good concordance to gold-standard hematoxylin and eosin (H&E) stains of fixed tissue sections. However, UV-PARS microscopy requires time-consuming and complex coalignment of multiple beams for imaging. In this work, we demonstrate UV transmittance and scattering microscopy for virtual histology and compare with UV-PARS microscopy. Maximally realistic virtual histology images are generated for both UV-PARS and UV-transmittance microscopy techniques using a cycle-consistent generative adversarial network (CycleGAN) and compared to one another alongside the gold-standard brightfield microscopy of H&E stained fixed tissues.
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