Detailed knowledge of biological structure has been key in understanding biology at several
levels of organisation, from organs to cells and proteins. Volume electron microscopy …

This paper investigates the impact of the amount of training data and the shape variability on
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …

The advent of volume electron microscopy (vEM) has provided unprecedented insights into
cellular and subcellular organization, revolutionizing our understanding of cancer biology …

Public participation in research, also known as citizen science, is being increasingly
adopted for the analysis of biological volumetric data. Researchers working in this domain …

The living body is composed of innumerable fine and complex structures. Although these
structures have been studied in the past, a vast amount of information pertaining to them still …

This paper describes the quantitative and qualitative evaluation of training data, ground truth
and the variability of the shape of HeLa cells as observed with electron microscopy in the …

Introduction The use of topological data analysis (TDA) in medical and biomedical
applications has been growing significantly [1],[2] and has provided interesting results in …