The disclosure relates to a light microscopy method comprising acquiring first light microscopic data of a sample in a first acquisition mode, recognizing an object in the sample from the first light microscopic data and assigning the object to an object class using a first artificial intelligence method, determining a confidence value for the recognized object, comparing the confidence value with a predetermined confidence value threshold if the confidence value is below the confidence value threshold, acquiring second light microscopic data in a second acquisition mode and verifying the assignment of the object to the object class based on the second light microscopic data, as well as a device and a computer program product for carrying out the method.