Dr Xing talks at ICIAM 2019
Dr Xing talks about our recent efforts on reconstructing single cell dynamics from live cell imaging trajectories at the meeting.
Dr Xing finished a three-week trip to China with multiple talks
He delivered a series lectures at PKU, Tsinghua University, and Renmin University, and an invited talk at Quantitative Biology 2019: Dynamic Signaling in Cells and Embryos.
The lab welcomes Jefferson and Yan for short term research
Jefferson Mei is a local high school student. Yan Dai is an undergraduate student majoring in Physics at Nanjing University, China. They will do research on quantitative image analysis with Dr Weikang Wang.
Dr Jingyu Zhang leaves the lab for Harvard Med School Postdoc position
During her six years in the lab (graduate student then postdoc), she played an instrumental role on establishing the wet-lab component, while she herself developed from a conventional experimental biology student to a mature researcher doing multi-disciplinary research. There is no doubt that she will continue to do great science and will have a bright […]
Yan’ms on vector field reconstruction deposited to bioRxiv
Mapping Vector Field of Single Cells with a code release https://dynamo-release.readthedocs.io/en/latest/
REU trainee Erin Haus started her summer research
Erin is currently a student of the college of New Jersey. She will develop computer programs to analyze our CRISPR-dCas9 imaging data.
David will attend Drexel MD program
Best wishes for your study and career!
Jingyu accepted postdoc position at Harvard Medical School
She will work in the lab of Dr Mo Motamedi. Jingyu will stay until July 15 to finish a number of projects. Congratulations and Best wishes for your future career development! We will miss you!
Sydney Anderson accepted to Washing U summer program
Our former REU trainee Sydney Anderson has been accepted to the Leah Menshouse Springer Summer Opportunities Program at Siteman Cancer Center, Washington University, St Louis. Congratulations!
Weikang’s deep learning paper accepted in Computers in Biology and Medicine
Single cell segmentation is a critical and challenging step in cell imaging analysis. Traditional processing methods require time and labor to manually fine-tune parameters and lack parameter transferability between different situations. Recently, deep convolutional neural networks (CNN) treat segmentation as a pixel-wise classification problem and become a general and efficient method for image segmentation. However, […]