Inference microscopy

A method for optimizing a workflow of one or more microscopes and/or microscope systems, the method comprising:

• implementing, by one or more components of the one or more microscopes and/or microscope systems, the workflow comprising a capture of first data;
• applying one or more trained models to the captured first data;
• making at least one decision in relation to the workflow based on the application of the one or more trained models to the captured first data;
• and
• adapting the at least one of the one or more trained models by:
• training a part of the at least one of the one or more trained models at least in part using second data in order to obtain at least one adapted trained model;
• and
• training the trained model using aggregated data that originate from one or more sources, in order to obtain at least one adapted trained model, wherein the aggregated data comprise data uploaded to a cloud, a server, or a workstation in automatic, semiautomatic or manual fashion.