The demand for high-throughput data collection in electron microscopy is increasing for
applications in structural and cellular biology. Here we present a combination of software …

The clonogenic assay measures the capacity of single cells to form colonies in vitro. It is
widely used to identify and quantify self-renewing mammalian cells derived from in vitro …

Elucidating the wiring diagram of the human cell is a central goal of the postgenomic era.
We combined genome engineering, confocal live-cell imaging, mass spectrometry, and data …

BigNeuron is an open community bench-testing platform with the goal of setting open
standards for accurate and fast automatic neuron tracing. We gathered a diverse set of …

Microglia play an important role in the pathology of CNS disorders, however, there remains
significant uncertainty about the neuroprotective/degenerative role of these cells due to a …

The microscopic visualization of large-scale three-dimensional (3D) samples by optical
microscopy requires overcoming challenges in imaging quality and speed and in big data …

The balance between excitatory and inhibitory (E and I) synapses is thought to be critical for
information processing in neural circuits. However, little is known about the spatial principles …

Cell morphology encodes essential information on many underlying biological processes. It
is commonly used by clinicians and researchers in the study, diagnosis, prognosis, and …

A cell's phenotype is the culmination of several cellular processes through a complex
network of molecular interactions that ultimately result in a unique morphological signature …

Deep learning of artificial neural networks has become the de facto standard approach to
solving data analysis problems in virtually all fields of science and engineering. Also in …