Apparatus and method for acquiring super-resolution holotomographic images

Abstract

A method of operating an electronic apparatus configured to generate holotomographic image data according to one embodiment of the present disclosure includes: acquiring fusion data from a fusion imaging apparatus in which a holographic tomography apparatus and a super-resolution fluorescence microscope are combined, in which the fusion data includes input data corresponding to holotomographic image data and output data corresponding to image data of the super-resolution fluorescence microscope; generating a cross-modal inference-based deep learning engine configured to generate a super-resolution tomographic image based on the input data and the output data; and acquiring a molecule-specific tomographic image using the deep learning engine, wherein the molecule-specific tomographic image has nano-resolution.

Dependencies are inferred from the claim text.