Protein Metrics Expands Presence in China
News Jul 09, 2018
Protein Metrics Inc., a leading provider of mass spectrometry
software for protein characterization, today announced it has hired Xuefei Yin, Ph.D., as a Senior Technical
Support Scientist to support a growing base of Chinese customers.
“Dr. Yin brings significant experience in industrial and academic protein characterization and analysis,” says
Eric Carlson, Ph.D., CEO and President, Protein Metrics. “His expertise in developing methods and workflows
will provide a tremendous benefit to our Chinese customers.”
Prior to joining Protein Metrics, Dr. Yin worked for three years for Waters Corporation as an application
scientist and market development specialist in biopharmaceutical and proteomics applications.
Dr. Yin received his Ph.D. in Analytical Chemistry from Fudan University, where he was a three-time
scholarship winner, and received three awards for his research using LC-MS. He also won Fellowships for
Outstanding Doctoral Research Program.
He has published six papers as first author or first co-author. He received his Secondary B.S. in Biology Science Wuhan University, and a B.S. in Applied Chemistry from Huazhong Agricultural University.
NIH Clinical Center Releases Data Trove of 32,000 CT ImagesNews
The National Institutes of Health’s Clinical Center has made a large-scale dataset of CT images publicly available to help the scientific community improve detection accuracy of lesions. While most publicly available medical image datasets have less than a thousand lesions, this dataset, named DeepLesion, has over 32,000.
Enabling Technology in Cell-Based Therapies: Scale-Up, Scale-Out or Program In-PlaceNews
Technologies are reducing costs and changing the ways in which researchers and clinicians process and use therapeutic cells. Two new review articles detail the status of cell bioreactors in both stem cell and tissue/organ engineering applications.READ MORE
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.