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Protochips, Inc.

4 ARTICLES PUBLISHED IN JoVE

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Bioengineering

In situ TEM of Biological Assemblies in Liquid
Madeline J. Dukes *1, Brian L. Gilmore *2, Justin R. Tanner *2, Sarah M. McDonald 2, Deborah F. Kelly 2
1Applications Science, Protochips, Inc., 2Virginia Tech Carilion Research Institute

Here we describe a procedure to image viral complexes in liquid at nanometer resolution using a transmission electron microscope.

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Biochemistry

Advancing High-Resolution Imaging of Virus Assemblies in Liquid and Ice
Liza-Anastasia DiCecco *1,2, Samantha Berry *1, G. M. Jonaid *1,3, Maria J. Solares 1,4, Liam Kaylor 1,4, Jennifer L. Gray 5, Carol Bator 6, William J. Dearnaley 1, Michael Spilman 7, Madeline J. Dressel-Dukes 8, Kathryn Grandfield 2, Sarah M. McDonald Esstman 9, Deborah F. Kelly 1,5,6
1Department of Biomedical Engineering, Pennsylvania State University, 2Department of Materials Science and Engineering, McMaster University, 3Bioinformatics and Genomics Graduate Program, Huck Institutes of the Life Sciences, Pennsylvania State University, 4Molecular, Cellular, and Integrative Biosciences Graduate Program, Huck Institutes of the Life Sciences, Pennsylvania State University, 5Materials Research Institute, Pennsylvania State University, 6Huck Institutes of the Life Sciences, Pennsylvania State University, 7Applications team, Direct Electron, 8Application Scientist, Protochips, Inc., 9Department of Biology, Wake Forest University

Here protocols are described to prepare virus assemblies suitable for liquid-EM and cryo-EM analysis at the nanoscale using transmission electron microscopy.

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Biology

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
Madeline Dressel Dukes 1, Nynke Albertine Krans 1, Katherine Marusak 1, Stamp Walden 1, Tim Eldred 1, Alan Franks 1, Ben Larson 1, Yaofeng Guo 1, David Nackashi 1, John Damiano 1
1Protochips, Inc.

Here, we present a protocol to utilize machine-vision software to stabilize dynamic processes during TEM imaging, while concurrently indexing multiple streams of metadata to each image into a navigable timeline. We demonstrate how this platform enables automated calibration and mapping of the electron dose over the course of an experiment.

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