Seminar: Pixel Club

ECE Women

Towards Applying Machine Learning in Volumetric 3D Microscopy

Date: October,05,2021 Start Time: 11:30 - 12:30 Location: zoom Add to:
Lecturer: Zsolt-Alon Wertheimer
Affiliations: The Andre and Erna Vitervi Faculty of Electrical & Computer Engineering

Light propagating through a non-uniform medium scatters as it interacts with particles with different refractive properties such as cells in the tissue. In this work we aim to utilize this scattering process to learn a volumetric reconstruction of scattering parameters, in particular partical densities. We target microscopy applications were coherent spackle effect are an integral part of the imaging process. We argue that the key for successful learning is modeling realistic speckles in the training process, for which we build on the development of recent physically accurate speckle simulators. We also explore how to better incorporate speckle statistics such as the memory effect in the learning framework.  Overall, this paper contributes an analysis of multiple aspects of the network design including  the learning architecture, the training data and the desired  input features. We hope this study will pave the road for future design of learning based imaging systems in this challenging domain.

 

*MSc student under the supervision of Prof. Anat Levin.

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