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Liquid Phase Transmission Electron Microscopy

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Vida Jamali

Vida Jamali

Georgia Institute of Technology, School of Chemical and Biomolecular Engineering

Vida Jamali has been an Assistant Professor in the School of Chemical and Biomolecular Engineering at the Georgia Institute of Technology since August 2022. She received her PhD in Chemical and Biomolecular Engineering from Rice University under the guidance of Prof. Matteo Pasquali and her B.S. in Chemical Engineering from the Sharif University of Technology. She was a postdoctoral researcher at the University of California Berkeley and Kavli Energy Nanoscience Institute, working with Prof. A. Paul Alivisatos before joining Georgia Tech. Her research group at Georgia Tech uses experimental, theoretical, and computational tools such as liquid phase transmission electron microscopy, rheology, statistical and colloidal thermodynamics, and machine learning to study the underlying physical principles that govern the dynamics, statistics, mechanics, and self-organization of nanostructured soft materials, in and out of thermal equilibrium, from both fundamental and technological aspects.

Collection Overview

Liquid-phase transmission electron microscopy (LPTEM) is a powerful technique for in situ visualization and direct characterization of dynamic matter in the liquid state with an unprecedented spatial (nanometer) and temporal (millisecond) resolution. By encapsulating a small amount of liquid specimen in either commercially available micro-fabricated cells with electron transparent silicon nitride (SiNx) windows or non-commercial graphene cells, researchers have observed the dynamics of nanostructured materials using transmission electron microscopes. LPTEM has recently led to several advancements in various fields, including understanding the morphological transformation and dynamics of nanocrystals, catalytic nanomaterials, chemical and biological soft materials, batteries, and emulsions. Despite this advancement, there are challenges in understanding, controlling, and mediating the effect of the microscope's electron beam on the specimen. This Methods Collection presents various methods developed in the past decade, from both experimental and computational aspects, to build LPTEM as a robust quantitate method for studying the dynamics of materials in the liquid state at the nanoscale.

Articles

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

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Cited by 6

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2023

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