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Advances in Rapid 3D Imaging of Large Tissue Samples

Jan 24, 2019
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Sponsored by
Applied Scientific Instrumentation Inc.
Mad City Labs Inc.
PCO-TECH Inc.
About This Webinar
This webinar will discuss rapid 3D, multiplexed imaging of large tissue samples, based on recent advances in light-sheet fluorescence microscopy, multiplexed molecular labeling, and optical tissue clearing. It will provide an overview of the various approaches to imaging cleared tissue and organs, along with the advantages and drawbacks of the different methodologies.

Presenter Doug Shepherd will begin with the history of imaging within thick samples, optical tissue clearing, and light-sheet fluorescence microscopy. He will discuss the benefits and difficulties of using light-sheet microscopy for large samples, such as rapid 3D imaging and optical aberrations, respectively. He will describe the development of multiple solutions to the rapid imaging of large samples, from his group and others.

New imaging methodologies that automatically adapt the exciting light-sheet and detection optics pathway to the unique optical properties of each cleared sample are critical to achieving deep and clear imaging. Pairing remote focusing or optical defocus with machine vision is one solution that has recently shown promise to providing deep and clear imaging. The advantages and disadvantages of various implementations of a sample adapting light-sheet will be discussed, with suggestions provided on matching sample type and biological question with specific light-sheet fluorescence microscopy implementations.

This webinar is sponsored by Applied Scientific Instrumentation Inc. (ASI). Whether you need help with precise and stable positioning for superresolution microscopy, a custom modifiable microscope tailored for your application, or a complete light-sheet microscope system, ASI has the proven products, people, and partners to provide well-engineered solutions for all your applications. 

This webinar is also sponsored by PCO-TECH Inc., a company with three decades of technical know-how and expert knowledge in the development and manufacturing of high-performing camera systems. PCO partners with leading image sensors manufacturers to ensure cutting edge sCMOS, CMOS, and CCD technology for all PCO cameras.

This webinar is also sponsored by Mad City Labs, Inc., the trusted name in designing and manufacturing piezo nanopositioning systems and precision microscopy solutions for Biophysical techniques. Mad City Labs provides components, such as piezo nanopositioners and precision micropositioners, as well as modular microscope solutions including Atomic Force Microscopes (AFM), and RM21 Single Molecule Fluorescence Microscopes.

About the presenter:
Douglas Shepherd, Ph.D. University of Colorado.Douglas Shepherd, Ph.D., is an assistant research professor at the University of Colorado Anschutz Medical campus. He received a B.S. in physics from the University of California, Santa Barbara in 2003 and a Ph.D. in physics from Colorado State University in 2011. From 2011 to 2013, he held a postdoctoral fellowship at the Center for Integrated Nanotechnologies and Center for Nonlinear Studies at Los Alamos National Laboratory. He heads the Shepherd Laboratory, which focuses on developing and applying new optical tools to understand the role that vascular progenitor cellular heterogeneity plays in the developing brain and lung.

Who should attend:
Scientists, educators, investigators, students, lab managers, and others who are involved in the development or use of microscopy, RNA labeling, developmental biology, or tissue clearing. Optical engineers and designers involved in the development of optical tools for microscopy and 3D and multiplexed imaging. The webinar will be applicable to multidisciplinary projects.

 

Research & TechnologyeducationUniversity of ColoradoDouglas ShepherdShepherd LaboratoryApplied Scientific Instrumentation Inc.ASIMicroscopylight-sheet microscopyfluorescencesuperresolutionOpticsBiophotonicsmedicinemedical3D imagingmultiplexed imagingPCOPCO-TECH Inc.Mad City Labs
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