Machine Learning-assisted Label-Free Cytometry Based on Laser Light Scattering of Single Cells at Multiple Wavelengths and Multiple Directions

Abstract

We present a laser light scattering study using image classification techniques on simulated cell model patterns for label-free cytometry development. Simulation parameters include mitochondria number, surface roughness, laser wavelength, and observation direction.