David G. C. Hildebrand

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The automated tape-collecting ultramicrotome (ATUM) makes it possible to collect large numbers of ultrathin sections quickly-the equivalent of a petabyte of high resolution images each day. However, even high throughput image acquisition strategies generate images far more slowly (at present ~1 terabyte per day). We therefore developed WaferMapper, a(More)
As the size of image data from microscopes and telescopes increases, the need for high-throughput processing and visualization of large volumetric data has become more pressing. At the same time, many-core processors and GPU accelerators are commonplace, making high-performance distributed heterogeneous computing systems affordable. However, effectively(More)
—The detailed reconstruction of neural anatomy for connectomics studies requires a combination of resolution and large three-dimensional data capture provided by serial section electron microscopy (ssEM). The convergence of high throughput ssEM imaging and improved tissue preparation methods now allows ssEM capture of complete specimen volumes up to cubic(More)
BACKGROUND The nucleus accumbens (NAc) plays a key role in brain reward processes including drug seeking and reinstatement. Several anatomical, behavioral, and neurochemical studies discriminate between the limbic-associated shell and the motor-associated core regions. Less studied is the fact that the shell can be further subdivided into a dorsomedial(More)
The thalamus receives input from multiple brain systems and has an essential role in controlling brain state. This is thought to occur primarily because of its connectivity with the forebrain. Here, we provide evidence for an additional mechanism. By calcium imaging of larval zebrafish, we show that two stimuli – light and darkness-trigger distinct activity(More)
Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy. One of the main challenges in connectomics research is developing scalable image analysis algorithms that require minimal user intervention. Recently, deep learning has drawn(More)
In this paper, we demonstrate that the problem of fitting a plane of reflection symmetry to data in any dimension can be reduced to the problem of registering two datasets, and that the exactness of the solution depends on the accuracy of the registration. The pipeline for symmetry plane detection consists of (1) reflecting the data with respect to an(More)
Neuroscience research projects often use intracranial (IC) microinfusions to target drug delivery to specific brain areas during behavioral testing. These experiments require accurate and precisely-timed delivery of small volumes. We present here a stepper motor-powered micropump assembly for such delivery. This system is hands-free, does not use a(More)
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