Electron microscopy (EM) enables high-resolution imaging of tissues and cells based on 2D
and 3D imaging techniques. Due to the laborious and time-consuming nature of manual …

Cells contain hundreds of organelles and macromolecular assemblies. Obtaining a
complete understanding of their intricate organization requires the nanometre-level, three …

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 …

Electron microscopy (EM) allows the identification of intracellular organelles such as
mitochondria, providing insights for clinical and scientific studies. However, public …

Mitochondria, as tiny structures within the cell, are of significant importance to study cell
functions for biological and clinical analysis. And exploring how to automatically segment …

Automatic mitochondria segmentation enjoys great popularity with the development of deep
learning. However, existing methods rely heavily on the labor-intensive manual gathering by …

Facial expressions are a significant part of non-verbal communication. Recognizing facial
expressions of people with neurological disorders is essential because these people may …

Recent studies have supported the relation between mitochondrial functions and
degenerative disorders related to ageing, such as Alzheimer's and Parkinson's diseases …

In marketing research, one of the most exciting, innovative, and promising trends is
quantification of customer interest. This paper presents a deep learning-based system for …

We present PyTorch Connectomics (PyTC), an open-source deep-learning framework for
the semantic and instance segmentation of volumetric microscopy images, built upon …