Determining experiments represented by images in documents

A system, comprising:

• a memory coupled to a computer processor;
• a repository configured to store:
• a document comprising an image comprising one or more image texts,
• a machine learning model, and
• a knowledge base;
• and
• an image analyzer, executing on the computer processor and using the memory, configured to:
• acquire the one or more image texts from the image,
• segment the image into one or more sub-images using the one or more image texts,
• determine, by applying the machine learning model, one or more experimental techniques of one or more experiments for the one or more sub-images, and
• add, to the knowledge base, one or more mappings of the one or more sub-images to the one or more experiments.

A non-transitory computer readable medium comprising instructions that, when executed by a computer processor, perform:

• acquiring one or more image texts from an image of a document;
• segmenting the image into one or more sub-images using the one or more image texts;
• determining, by applying a machine learning model, one or more experimental techniques of one or more experiments for the one or more sub-images;
• and
• adding, to a knowledge base, one or more mappings of the one or more sub-images to the one or more experiments.