Journal Paper by Prof Hong Yan Published in Nature Communications
The journal paper “Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation”, authored by Prof Hong YAN (Wong Chung Hong Professor of Data Engineering and Chair Professor of EE), Mr Jianfeng CAO (PhD student) and scholars from Hong Kong Baptist University and Peking University, has been published in Nature Communications on 7 December 2020 (https://rdcu.be/cbNVQ).
According to Prof Yan: “Each animal (or human) is grown from a single cell, a fertilized egg. Amazingly, successive divisions of this cell and its daughter cells will form animal organs and body automatically. We use laser beams to obtain cell images at different depths and at different time points to form a 4D (xyzt) data array during cell division. Hong Kong Baptist University and Peking University did wet-lab experiments with C. elegans (worm) to produce terabytes of data, and CityU performed computational analysis. We developed machine learning methods to extract, track and visualize cells and analyze their functions.”