FEB 07, 2019 08:00 AM CET

Acceleration of Neuroscience Research Discovery by Incorporation of Large Area/Volume Microscopic Data

SPONSORED BY: Leica Microsystems
C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Lead Research Scientist GW Nanofabrication and Imaging Center and Professor of Anatomy and Cell Biology GW School of Medicine and Health Sciences
    Biography
      The prime aspect of my work is to serve as a director of the George Washington (GW) University's Nanofabrication and Imaging Center (NIC). In this role I incorporate research instrumentation and work-flow based approaches aiming to facilitate research discovery process. Another considerable part of my effort focuses on neuroscience research exploring animal models of diseases. These two lines of responsibility are connected via microscopic imaging, which as a final outcome aims to reverse engineer the abnormal brain and lead to a better understanding of the structural foundations of neuro-developmental disorders. I obtained a M.D. in 1991 from the Medical University of Sofia and a doctorate in medical sciences from the University of Cologne in 2000. My passion to study neuronal structure and connectivity with electron and light microscopy was developed as a medical student and lead me to pursue academic career. I held faculty position at the Medical University of Sofia, a visiting scholar at the laboratory of Profs. A.Rustioni and R.J.Weinberg, and a fellowship at the ENT/University of Cologne. In 2000, I joined GW in Prof. Peusner's lab, where I applied anatomical techniques combined with electron microscopy and confocal imaging to study the development and plasticity of the vestibular system. In 2006, I became a director of the Center for Microscopy and a professor of anatomy. The combination of considerable Federal support and energized research base, allowed this center to develop as a hub for innovative scientific research both in electron and light microscopy. Further, significant institutional investments led its expansion into GW Nanofabrication and Imaging Center, where state of art microscopy imaging are being performed. I applied neuronal tracers, electron and light microscopy approaches in my studies. My research strategies are dominated by innovative concepts of work-flow across modalities and strongly data science driven approaches.

    Abstract:
    Date:  February 7, 2019
    Time: 8:00am PST, 11:00am EST
     
    Modern microscopes are becoming increasingly complex instruments enabling registration of image sets far beyond a single field of view. This is being achieved by integration of sophisticated scanning stages, capable of moving the field of view in precise synchrony with acquisition, providing reliable meta data encoding time, space and multiple imaging modalities. As a result, increasingly complex multi-dimensional microscopic data sets are being generated and analyzed. For all these reasons, multifaceted workflows are required from sample preparation, through imaging to structuring and analyses of the image data. Studies of neuronal networks are a prime example of where complex image data facilitates our understanding of structural organization of neuronal circuits. The needs of large image data sets is amplified by the fact that in the CNS, elements of a single neuron span very large volumes, which ideally should be included in the image sets at appropriate resolution. It is also important to identify the neuropathological process at its emergence, where only rare events, representing foci of the nascent pathological process are present in otherwise normal brain tissue. In this webinar, we provide several examples of how modern light, electron and correlative microscopy facilitated our efforts to identify the underlying pathology associated with feeding and swallowing deficits present in a mouse model of 22q11D.2DS (LgDel). The webinar will highlight high-resolution confocal imaging approaches of a whole cleared embryos and reconstructions and analysis of single neurons. The values of large area light-to-SEM correlative workflows will be presented, followed by elastic backscatter imaging to produce TEM-like image sets both for generation of large area/high-resolution or 3D data sets for structural cellular analyses. Finally, the talk will underscore the value of postembedding immunogold detection of GABA-neurotransmitter using SEM backscatter imaging.
     

    Learning Objectives:

    • High-resolution confocal imaging approaches for whole cleared embryos and reconstructions and analysis of single neurons. 
    • Large area light-to-SEM correlative workflows and elastic backscatter imaging for generation of large area/high-resolution or 3D data sets for structural cellular analyses. 
    • Postembedding immunogold detection of GABA-neurotransmitter using SEM backscatter imaging.

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