LAUSR

Real‐time tracking of multiple particles is key for quantitative analysis of dynamic biophysical processes and materials science via time‐lapse microscopy image data, especially for single molecule biophysical techniques, such as magnetic tweezers and centrifugal force microscopy. However, real‐time multiple particle tracking with high resolution is limited by the current imaging processes or tracking algorithms. Here, we demonstrate 1 nm resolution in three dimensions in real‐time with a graphics‐processing unit (GPU) based on a compute unified device architecture (CUDA) parallel computing framework instead of only a central processing unit (CPU). We also explore the trade‐offs between processing speed and size of the utilized regions of interest and a maximum speedup of 137 is achieved with the GPU compared with the CPU. Moreover, we utilize this method with our recently self‐built centrifugal force microscope (CFM) in experiments that track multiple DNA‐tethered particles. Our approach paves the way for high‐throughput single molecule techniques with high resolution and efficiency.