| CPC G06T 7/0014 (2013.01) [G06T 5/50 (2013.01); G06T 7/11 (2017.01); G06T 7/80 (2017.01); H04N 23/69 (2023.01); H04N 23/695 (2023.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] | 16 Claims |
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1. An imaging device for image generation of a specimen, wherein
the imaging device comprises circuitry configured to:
receive a first parameter set associated with a first location of a specimen;
receive a second parameter set associated with at least a second location of the specimen;
capture a first plurality of images of a first area of interest at the first location of the specimen, according to the first parameter set, and a second plurality of images of a second area of interest at the second location of the specimen, according to the second parameter set;
compile the first plurality of images into a first integrated image and the second plurality of images into a second integrated image;
compare the first integrated image to a fitness measure;
flag the first integrated image if the first integrated image falls outside of a predetermined threshold of the fitness measure, wherein comparing the first integrated image comprises using a fitness machine-learning model, wherein using the fitness machine-learning model comprises:
training the fitness machine-learning model using fitness training data, wherein the fitness training data contains a plurality of data entries containing a plurality of integrated image inputs correlated to fitness measure outputs; and
flagging the first integrated image as a function of the comparison between the first integrated image and the fitness measure using the trained fitness machine-learning model;
combine the first integrated image and the second integrated image into a consolidated image; and
display the consolidated image.
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