MICRO-OBJECT MOVEMENT MONITOR TO OBSERVE CONTROLLED MICRO-OBJECT MOVEMENT

What is disclosed is methods and systems for monitoring micro-object movements. Images depicting micro-objects moving across a backplane is received. Based on processing by a machine learning based image processing model, a first location and orientation of each micro-object in a first image and a second location and orientation of each micro-object in a second image is determined. Based on estimates of forces applied during a time between capture of the first and second images, movement during the time of a micro-object in the first image is estimated. A likely image of the micro-object in the second image is inferred based on the likely image having a location and orientation in the second image that corresponds to a combination of the movement and the location and orientation of the micro-object in the first image. An indication that the micro-object in the first image corresponds to the likely image is output.