Guest Editor Anand D. Jeyasekharan, Ph.D.
Cancer Science Institute of Singapore
National University of Singapore
Centre for Translational Medicine
The June 2018 special issue of SLAS Technology provides a meaningful glimpse into the potential and applicability of quantitative imaging as life sciences and biomedical research move into an era of big data and high-content experiments.
Preceded by a thoughtful editorial by Guest Editor Anand D. Jeyasekharan, Ph.D., of the Cancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine, two review articles and seven original research reports by authors in China, France, Hong Kong, India, Republic of South Korea, Singapore, Spain and the United States share novel insight into different steps of the quantitative imaging process, where the focus is on removing the tedious aspects of imaging and image analysis to enable scientists to devote more time and energy to answering important biological and medical questions.
Quantitative imaging also addresses a key issue of reproducibility in life sciences research. Selected representative images are no longer considered adequate proof of a discovery, as these run the risk of observer bias. The development of algorithms to quantify images has transformed the way microscopic and macroscopic imaging studies are done and reported, by allowing assessment and quantification from a larger set of samples. Enabling these advances to the use of imaging in medicine and life sciences research requires technological advances in several fields. The quantitative imaging revolution impacts multiple steps of the experimental process, requiring advances in technology to facilitate imaging, capture high-content images and analyze them.
SLAS publishes two PubMed:MEDLINE-indexed journals and accepts manuscripts on an ongoing basis from members and non-members. > READ MORE
May 21, 2018