  Accurately estimating the wiring diagram of a brain, known as a connectome,
at an ultrastructure level is an open research problem. Specifically, precisely
tracking neural processes is difficult, especially across many image slices.
Here, we propose a novel method to automatically identify and annotate small
subcellular structures present in axons, known as axoplasmic reticula, through
a 3D volume of high-resolution neural electron microscopy data. Our method
produces high precision annotations, which can help improve automatic
segmentation by using our results as seeds for segmentation, and as cues to aid
segment merging.
