Quasi‐Newtonian Environmental Scanning Electron Microscopy (QN‐ESEM) for Monitoring Material Dynamics in High‐Pressure Gaseous Environments
Name
Advanced Science - 2020 - Zhu - Quasi‐Newtonian Environmental Scanning Electron Microscopy QN‐ESEM for Monitoring.pdf
Description
Published version
Size
8.26 MB
Format
Adobe PDF
Checksum (MD5)
b811c0c96374b69d88bddc0aa8203666
Author(s)
Zhu, Jinlong
Zhang, Lenan
Li, Xiangyu
Wilke, Kyle L
Wang, Evelyn N
Goddard, Lynford L
Date Issued
2020
Journal
Advanced Science
Publisher
Wiley
Citation
Zhu, Jinlong, Zhang, Lenan, Li, Xiangyu, Wilke, Kyle L, Wang, Evelyn N et al. 2020. "Quasi‐Newtonian Environmental Scanning Electron Microscopy (QN‐ESEM) for Monitoring Material Dynamics in High‐Pressure Gaseous Environments." Advanced Science, 7 (19).
Version
Final published version
Abstract
© 2020 The Authors. Published by Wiley-VCH GmbH Environmental scanning electron microscopy (ESEM) is a powerful technique that enables imaging of diverse specimens (e.g., biomaterials, chemical materials, nanomaterials) in a hydrated or native state while simultaneously maintaining micro-to-nanoscale resolution. However, it is difficult to achieve high signal-to-noise and artifact-free secondary electron images in a high-pressure gaseous environment due to the intensive electron-gas collisions. In addition, nanotextured substrates can mask the signal from a weakly scattering sample. These drawbacks limit the study of material dynamics under extreme conditions and correspondingly our understanding in many fields. In this work, an imaging framework called Quasi-Newtonian ESEM is proposed, which introduces the concepts of quasi-force and quasi-work by referencing the scattering force in light–matter interactions, to break these barriers without any hardware changes. It is shown that quasi-force is a more fundamental quantity that has a more significant connection with the sample morphology than intensity in the strongly scattering regime. Experimental and theoretical studies on the dynamics of droplet condensation in a high-pressure environment (up to 2500 Pa) successfully demonstrate the effectiveness and robustness of the framework and that the overwhelmed signal of interest in ESEM images can be reconstructed through information stored in the time domain, i.e., frames captured at different moments.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
10.1002/ADVS.202001268
