Application of RESNET50 Convolution Neural Network for the Extraction of Optical Parameters in Scattering Media

no code implementations • 25 Apr 2024 • Bowen Deng, Yihan Zhang, Andrew Parkes, Alex Bentley, Amanda Wright, Michael Pound, Michael Somekh

Estimation of the optical properties of scattering media such as tissue is important in diagnostics as well as in the development of techniques to image deeper.

Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning

no code implementations • 23 Apr 2024 • Yong En Kok, Alexander Bentley, Andrew Parkes, Amanda J. Wright, Michael G. Somekh, Michael Pound

This study demonstrates the application of convolutional neural networks to characterise the optical aberration by directly predicting the Zernike coefficients from two to three phase-diverse optical images.