FNIH reviews single-cell analysis landscape

A review of single-cell analysis tools highlights six new technologies with translational potential and examines the primary hurdles for broader utilization -- heterogeneity and variability. The review was published on March 2 in Clinical and Translational Science by members of the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium's High-Content Data Integration working group. Group members include ten public and private institutions and companies.

Single-cell analysis involves detection of signals from individual cells rather than traditional diagnostic measures of average signals from aggregate cell populations (see BioCentury Innovations, Oct. 22, 2015)...