Deep Learning to detect Microscopic Eggs of Roundworms

New methods of cleaning debris and high-throughput counting of cyst nematode eggs extracted from field soil, PLoS ONE, 14(10): e0223386,  2019.

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Authors: Upender Kalwa, Christopher Legner, Elizabeth Wlezien, Gregory Tylka, and Santosh Pandey

Summary:

In this paper, a deep learning convolution neural network model is built to detect and count the microscopic eggs of roundworms (nematodes) from holographic videos.  A microfluidic flow chip and lens-less imaging is used to record the holographic videos. The source code is also available in the Plos One paper.