Abstract: In one embodiment, a system for biomedical object segmentation includes one or more processors; one or more memory modules communicatively coupled to the one or more processors, and machine readable instructions stored on the one or more memory modules. The machine readable instructions cause the system to perform the following when executed by the one or more processors: receive image data of one or more biological constructs; analyze the image data to generate processed image data via a data analytics module to recognize biomedical objects; and automatically annotate the processed image data to indicate a location of one or more biological objects within the one or more biological constructs.

Abstract: A system for automated biological structure identification using machine learning includes a host device configured to receive an instruction selecting a biological structure to identify, access computer readable media storing multiple machine learning models configured to identify biological structures, select a model among the machine learning models based on the received instruction, receive image data, identify the biological structure, out-of-focus, in the image data using the selected model, send adjustment instructions to an imaging device to adjust focus of the imaging device, receive adjusted image data corresponding to the adjustment instructions, and identify the biological structure, in-focus, in the adjusted image data using the selected model. The host device generates annotations corresponding to the identified biological structure and displays the image data and annotations.

Abstract: In one embodiment, a system for biomedical object segmentation includes one or more processors; one or more memory modules communicatively coupled to the one or more processors, and machine readable instructions stored on the one or more memory modules. The machine readable instructions cause the system to perform the following when executed by the one or more processors: receive image data of one or more biological constructs; analyze the image data to generate processed image data via a data analytics module to recognize biomedical objects; and automatically annotate the processed image data to indicate a location of one or more biological objects within the one or more biological constructs.