Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning
This work presents a teacher-student ML framework using knowledge distillation for label-free lymphocyte classification (T4, T8, B cells) from bright-field images, deployed on FPGA with ultra-low 14.5 µs inference latency - 40× faster than previous state of the art.