Protochips, Inc.

4 ARTICLES PUBLISHED IN JoVE

An erratum was issued for: In situ TEM of Biological Assemblies in Liquid. The Representative Results and References sections were updated.

Bioengineering

In situ TEM of Biological Assemblies in Liquid

Madeline J. Dukes^*1, Brian L. Gilmore^*2, Justin R. Tanner^*2, Sarah M. McDonald², Deborah F. Kelly²

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.

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. Gray⁵, Carol Bator⁶, William J. Dearnaley¹, Michael Spilman⁷, Madeline J. Dressel-Dukes⁸, Kathryn Grandfield², Sarah M. McDonald Esstman⁹, 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.

Biology

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Madeline Dressel Dukes¹, Nynke Albertine Krans¹, Katherine Marusak¹, Stamp Walden¹, Tim Eldred¹, Alan Franks¹, Ben Larson¹, Yaofeng Guo¹, David Nackashi¹, John Damiano¹

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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