Method and system for acquisition of optimal images of object in multi-layer sample

A method for acquisition of one or more optimal images of an object in a multi-layer sample, comprising:

• retrieving, by an optimal image acquisition system, plurality of images for a Field Of View (FOV) from one or more FOVs of a multi-layer sample comprising one or more objects, wherein each of the plurality of images are captured by varying focal depth of an image capturing unit associated with the optimal image acquisition system;
• identifying, by the optimal image acquisition system, the one or more objects associated with the multi-layer sample in the FOV, wherein the identification comprises:
• obtaining a cumulative foreground mask of the FOV based on adaptive thresholding performed on a foreground image of the FOV;
• and
• obtaining one or more object masks), corresponding to the one or more objects, in the FOV based on contour detection performed on the cumulative foreground mask of the FOV, for identifying the one or more objects;
• computing, by the optimal image acquisition system, sharpness of each of the plurality of images associated with each of the one or more object masks;
• and
• selecting, by the optimal image acquisition system, one or more optimal images from the plurality of images for each of the one or more objects in the FOV based on the sharpness, for acquisition of the one or more optimal images of an object from the one or more objects in the multi-layer sample.