Data from: Robust extraction of quantitative structural information from high-variance histological images of livers from necropsied Soay sheep

Quentin Caudron, Romain Garnier, Jill G. Pilkington, Kathryn A. Watt, Christina Hansen, Bryan T. Grenfell, Tawfik Aboellail & Andrea L. Graham
Quantitative information is essential to the empirical analysis of biological systems. In many such systems, spatial relations between anatomical structures is of interest, making imaging a valuable data acquisition tool. However, image data can be difficult to analyse quantitatively. Many image processing algorithms are highly sensitive to variations in the image, limiting their current application to fields where sample and image quality may be very high. Here, we develop robust image processing algorithms for extracting...
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22 downloads reported since publication in 2017.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?