Device for scaling images, comprising: one or more processors; one or more computer-readable storage media on which computer-executable instructions are stored, which, when executed by the one or more processors, lead to: setting a first resolution, wherein setting the first resolution comprises setting a binning and/or selecting a subset of pixels of a microscope for capturing the one or more first images (100; 210); adjusting the microscope based on the first resolution, wherein adjusting the microscope comprises adjusting at least one of the following: a numerical aperture, NA, of an optical system of the microscope, an exposure time, and a light intensity of a light source of the microscope; capturing one or more first images (100; 210) by means of the microscope, wherein the one or more captured first images (100; 210) comprise the first resolution; and applying a neural network (200; 430) to the one or more captured first images (100; 210) to generate one or more corresponding second images (130; 220), wherein the one or more second images (130; 220) comprise a second resolution, wherein the first resolution and the second resolution differ, wherein the one or more captured first images (100; 210) have a lower resolution than the one or more second images (130; 220). one or more processors; one or more computer-readable storage media on which computer-executable instructions are stored, which, when executed by the one or more processors, lead to: setting a first resolution, wherein setting the first resolution comprises setting a binning and/or selecting a subset of pixels of a microscope for capturing the one or more first images (100; 210); adjusting the microscope based on the first resolution, wherein adjusting the microscope comprises adjusting at least one of the following: a numerical aperture, NA, of an optical system of the microscope, an exposure time, and a light intensity of a light source of the microscope; capturing one or more first images (100; 210) by means of the microscope, wherein the one or more captured first images (100; 210) comprise the first resolution; and applying a neural network (200; 430) to the one or more captured first images (100; 210) to generate one or more corresponding second images (130; 220), wherein the one or more second images (130; 220) comprise a second resolution, wherein the first resolution and the second resolution differ, wherein the one or more captured first images (100; 210) have a lower resolution than the one or more second images (130; 220). setting a first resolution, wherein setting the first resolution comprises setting a binning and/or selecting a subset of pixels of a microscope for capturing the one or more first images (100; 210); adjusting the microscope based on the first resolution, wherein adjusting the microscope comprises adjusting at least one of the following: a numerical aperture, NA, of an optical system of the microscope, an exposure time, and a light intensity of a light source of the microscope; capturing one or more first images (100; 210) by means of the microscope, wherein the one or more captured first images (100; 210) comprise the first resolution; and applying a neural network (200; 430) to the one or more captured first images (100; 210) to generate one or more corresponding second images (130; 220), wherein the one or more second images (130; 220) comprise a second resolution, wherein the first resolution and the second resolution differ, wherein the one or more captured first images (100; 210) have a lower resolution than the one or more second images (130; 220).