百家乐怎么玩-澳门百家乐官网娱乐城网址_网上百家乐是不是真的_全讯网888 (中国)·官方网站

CityU develops novel computer tool for studying cells

Mirror Fung

 

prof yan
Professor Yan Hong (left) and Cao Jianfeng

 

Scientists at City University of Hong Kong (CityU) have developed a novel computer tool to extract, track and visualise cells, and analyse the formation, structure and functions of Caenorhabditis elegans (a type of worm) during cell division. The research can help scientists understand cancer and find a possible cure by enabling them to learn how an animal’s body and organs are formed through cell division.

The research was co-led by scientists at CityU, Hong Kong Baptist University (BU) and Peking University (PKU). Researchers at BU used laser beams to obtain cell images of Caenorhabditis elegans at different depths and at different time points to form a 4D data array during cell division, CityU developed the computer software for cell image analysis, and PKU provided biological interpretations.

The findings were recently published in the prestigious journal Nature Communications under the title “Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning based 4D segmentation”.

“The computational framework we developed is called CShaper. It helps biologists reconstruct and visualise the 3D shapes and their temporal changes in Caenorhabditis elegans embryos, which share many essential biological characteristics with, and provide a valuable model for studying the tumour growth process in humans,” says Professor Yan Hong, Chair Professor of Computer Engineering and Wong Chun Hong Professor of Data Engineering in the Department of Electrical Engineering (EE).

In addition, the researchers developed a deep-learning method, called DMapNet, to segment embryo membranes.

cell
Examples of 3D projection of cell images (left) and segmentation results (right).

 

The team generated a time-lapse 3D atlas of cell morphology for the Caenorhabditis elegans embryo from the 4- to 350-cell stages, including cell shape, volume, surface area, migration, nucleus position and cell-cell contact with resolved cell identities.

Previous image analysis systems could detect only the cell nuclei well, not the cell membranes. The nucleus and membrane were imaged from two channels simultaneously, but the image quality of the membrane was much worse than that of the nucleus because of low fluorescence density.

Using the new system, the scientists can accurately detect the membranes, track the cells, and reconstruct their 3D shapes. The new tool opens a window to analysing cell features, such as cell shapes, cell-cell contacts, cell-cell communication, and gene and protein functions during cell division.

“We are proud to be able to develop a useful computer tool for automated analysis of massive amount of cell image data. To the best of our knowledge, CShaper is the first framework for segmenting and analysing a Caenorhabditis elegans embryo systematically at the single cell level. Using this tool, we can characterise cell shapes and surface structures, and provide 3D views of cells at different time points,” says Cao Jianfeng, PhD student in EE and one of the first co-authors of the paper.

CShaper revolutionises the way biologists inspect experiment data. It cuts down the time required to annotate the images of an embryo from hundreds to just a few hours and enables biologists to implement quantitative and statistical analyses on cell morphological features on a large scale. The system can be further developed to analyse images from other types of cells, such as plant cells.

 

YOU MAY BE INTERESTED

Contact Information

Communications and Institutional Research Office

Back to top
斗地主棋牌游戏| 捷豹百家乐的玩法技巧和规则| 百家乐官网平玩法可以吗| 老人头百家乐的玩法技巧和规则| 孟村| 百家乐官网实战路| 网上玩百家乐会出签吗| 博彩交流| 百家乐官网龙虎台布多少钱| 网上赌百家乐的玩法技巧和规则| 陆川县| JJ百家乐官网的玩法技巧和规则| 威尼斯人娱乐场| 百家乐官网如何打公式| 百家乐官网真人百家乐官网皇冠| 百家乐任你博娱乐| 百家乐官网玩法有技巧| 博E百百家乐现金网| 大发888手机版亚洲城| 百家乐官网网上真钱娱乐平台| 巴比伦百家乐娱乐城| 百家乐官网真人视屏游戏| 百家乐黄金城游戏大厅| 乌拉特后旗| 百家乐长龙如何判断| 走地皇娱乐城| 风水97年农历6月24八字| 波克棋牌赢话费下载| 木棉百家乐官网的玩法技巧和规则 | 百家乐一起多少张牌| 大玩家百家乐官网现金网| 百家乐家居| 百家乐官网中P代表| 百家乐赌博策略大全| 凌源市| 百家乐稳赢技法| 百家乐官网策略| 什么是百家乐的大路| 亚洲百家乐官网新全讯网| 百家乐长龙技巧| 百家乐官网大赢家客户端|