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."
For his part Hall said the process of putting the analytical package together had been exciting and challenging both, as it had seen plant biologists concerned with fundamental science working together with engineers on the applied side of things.
"Interdisciplinary studies create a challenge to bring researchers together to find a common language to speak", Hall said.
Both he and Fischer said that they and the other article authors were greatly pleased to be acknowledged by high-ranking academic body outside of their own networks.
"It's an honour to be recognised by an established peer-review website", such as the F1000 Prime, Hall said.
The article Precision Automation of Cell Type Classification and Sub-cellar Fluorescence Quantification from Laser Scanning Confocal Images was published with open access in Frontiers in Plant Science, 9 February 2016.
The following authors are acknowledged:
Hardy C. Hall, Umeå University, Sweden - Bio4Energy
Azadeh Fakhrzadeh, Centre for Image Analysis, Uppsala University, Sweden
Cris L. Luengo Hendriks, Centre for Image Analysis, Uppsala University, Sweden
Urs Fischer, Swedish University of Agricultural Sciences - Bio4Energy