Systems and methods for digitization of tissue slides based on associations among serial sections

A system for digitization of tissue slides based on associations among serial sections, wherein the system is comprised of:

• at least a computing device, wherein the computing device is comprised of:
• a memory, wherein the memory stores instructions;
• and
• a processor, communicatively connected to the memory, wherein the processor is configured to:
• retrieve, from the memory, a candidate tissue map associated with a candidate tissue section, wherein the candidate tissue map is digital and comprises a digitized and then scanned slide at a high magnification wherein the scanned slide is restricted to content within an identified enclosing bounding box;
• retrieve a reference tissue map associated with a reference tissue section;
• align the candidate tissue map to the reference tissue map;
• compare the aligned candidate tissue map to the reference tissue map;
• and
• generate a regenerated candidate tissue map as a function of the reference tissue map, wherein the regenerated candidate tissue map is digital and
• generating the regenerated candidate tissue map comprises instantiating a machine learning module which further comprises:
• receiving training data, wherein the training data correlates a plurality of reference tissue map data to a plurality of regenerated candidate tissue map data;
• training, iteratively, the machine learning module using the training data, wherein training the machine learning module includes retraining the machine learning module with feedback from previous iterations of the machine learning module;
• and
• generating the regenerated candidate tissue map using the trained machine learning module;
• and
• a scanner, configured to scan a slide and send a digitized image of the slide to the computing device.