- Written by Anna Strom
A study by Bio4Energy researchers and partners was recommended by F1000 faculty as an important article in biology. The Faculty of 1000, or F1000, is an international group of academics—faculty members—who have tasked themselves with identifying and recommending the best research output in biology and medicine when it comes to peer-reviewed scientific articles.
The F1000 faculty member making the recommendation, David G. Oppenheimer of the University of Florida at Gainsville, U.S.A. stated in his motivation:
"The authors' method allows segmentation of images obtained by laser scanning confocal microscopy (or other optical sectioning methods of fluorescently labelled material) followed by assignment of cell types using the Random Forest machine learning algorithm.... I expect that this package will be useful for large-scale quantitative trait loci mapping projects or any projects that require quantification of cellular phenotypes for thousands of individuals."