What is it about?
Non-invasive and high-speed optical coherence tomography (OCT) systems have been widely deployed for daily clinical uses. An image translation algorithm between cellular-resolution OCT and HE-stained images is developed with high accuracy on nuclei consistency, dermal-epidermal junction, and the stratum corneum boundaries.
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Why is it important?
Optical coherence tomography (OCT) has been advancing rapidly in recent years with faster imaging speed and higher spatial resolution. However, the OCT greyscale images hindered its use by clinicians. With an accurate translation of OCT images to H&E-like stained images, it would be beneficial for clinicians to read OCT images effectively. The research represents a critical step toward virtue histopathology.
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This page is a summary of: H&E-like staining of OCT images of human skin via generative adversarial network, Applied Physics Letters, September 2022, American Institute of Physics, DOI: 10.1063/5.0122965.
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