Deep Learning

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.

MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems

This paper presents a novel machine learning framework (MIML) that enhances the precision and specificity of cell classification by integrating label-free cell images with biomechanical data, achieving a 98.3% classification accuracy.

Deep learning-based classification of hematopoietic stem cells

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors

This paper demonstrates the use of deep learning models to reliably distinguish between HSCs and MPPs using light microscopy images, providing a rapid and effective method for cell classification without the need for markers.