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Automated Whole-Brain Scanning System to Accelerate Research

January 17th, 2012 Shiv Gaglani Genetics, News, Pathology

We recently reported on a probe developed by IBM that will allow pathologists to take smaller biopsies. Now there may be a way to perform such histology faster, at least for brain studies. The conventional technique is to freeze a fluorescence-tagged whole brain or fix it in paraffin wax and then proceed to meticulously slice it into hundreds or thousands of micron-wide sections that are then mounted on slides and imaged. This takes huge investments of time and effort, so scientists usually focus on mapping specific regions of interest (e.g. cortex or amygdala). At least one project, the Allen Brain Atlas, emerged in response with the goal to map the entire mouse brain so that all researchers may rely upon it for their work.

Similar atlases may now be created even faster thanks to researchers at Cold Spring Harbor Laboratory, who announced in Nature Methods the development of a novel technique that automates and accelerates histological sectioning for 3D brain-mapping. Known as serial two-photon (STP) tomography, the technique

… achieves high-throughput fluorescence imaging of whole mouse brains via robotic integration of the two fundamental steps — tissue sectioning and fluorescence imaging…

A full set of data, including final images, could be obtained by the team in 6.5 to 8.5 hours per brain, depending on the resolution.  These sets each were comprised of 260 top-to-bottom, or coronal, slices of mouse brain tissue, which were assembled by computer into three-dimensional renderings themselves capable of a wide range of “warping,” i.e., artificial manipulation, to reveal hidden structures and features.

“The technology is a practical one that can be used for scanning at various levels of resolution, ranging from 1 to 2 microns to less than a micron,” [Professor Pavel] Osten says.  Scans at the highest resolution level take about 24 hours to collect.  This makes possible an impressive saving of time, Osten says, compared to methods that are now in use.  Using these, it would take an experienced technician about a week to collect a set of whole-brain images at high resolution, he noted.

In terms of applications and future work, according to the Nature Methods paper:

STP tomography is particularly well-suited for systematic studies of brain anatomy in genetic mouse models of cognitive disorders, such as autism and schizophrenia. To provide quantitative measurements for such studies, we are now focusing on anatomical registration and the development of computational methods for detection of fluorescence signals in whole-brain datasets generated by STP tomography.

This system, along with other emerging automated brain-scanning techniques, may have the same effect on neuroscience as next generation sequencing technologies had on genetics. It used to be prohibitively expensive to sequence an entire genome (which is why the NIH had to step in for the Human Genome Project), but automated and high-throughput technologies have reduced the time and cost required so researchers can simply sequence an entire sample rather than just a specific region. We hope to see more cool 3D brain maps, and the discoveries and innovations they inspire, in the near future.

Cold Spring Harbor Laboratories press release: CSHL team introduces automated imaging to greatly speed whole-brain mapping efforts

Nature Methods paper: Serial two-photon tomography for automated ex vivo mouse brain imaging

Shiv Gaglani

Shiv Gaglani is an MD/MBA candidate at the Johns Hopkins School of Medicine and Harvard Business School. In addition to curating the Smartphone Physical (www.smartphonephysical.org), he also contributes regularly to CardioSource World News and Emergency Physicians Monthly. He is interested in developing scalable, tech-based solutions for medicine and education; to this end he is the co-founder of the medical education tech start-up, Osmosis (www.osmosis.org).  More about Shiv: http://about.me/sgaglani

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