Co-design of optical filter and fluorescence applications using artificial intelligence

A prediction system for predicting digital fluorescence images, wherein the prediction system comprises the following:

• a memory that stores a program code and one or more processors that are connected to the memory and, when they execute the program code, cause the prediction system to control the following units:
• a first digital image capturing unit with a first plurality of color channel information for capturing a first digital image of a tissue sample by means of a microsurgical optical system using white light and at least one optical filter,
• a trained machine learning system for predicting a second digital image in the form of a digital fluorescence representation of the captured first digital image, wherein the trained machine learning system comprises a trained learning model for predicting a corresponding digital fluorescence representation of an input image,
• wherein the first captured digital image is used as input image for the trained machine learning system, and
• wherein parameter values of the at least one optical filter were determined during training of the machine learning system.