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

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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.

© 2023 The Author(s)

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