Algorithm for Analysis of Transmission Electron Microscopy Videos – UROP Summer 2020 Symposium

Algorithm for Analysis of Transmission Electron Microscopy Videos

Jack Liu

Jack Liu

Pronouns: He/Him/His

UROP Fellowship: University of Michigan Energy Institute

Research Mentor(s): Stephen Maldonado, PhD
Department of Chemistry

Presentation Date: Thursday, July 30, 2020 | Session 2 | Presenter: 4

Authors: Jack Liu

Abstract

Recently, a method was developed to study nanowire growth events through Electrochemical Liquid-Liquid-Solid (ec-LLS) using a liquid Transmission Electron Microscopy (TEM) holder cell. To understand the ec-LLS process, in-situ movie recordings of nanowire growth by this method have been obtained. Instead of analyzing each frame by hand, which is time-consuming and not efficient, this presentation will describe my work to develop an automated algorithim. Specifically, I developed a program to compute the growth rate and kinks (growth angle) of all visible nanowires grown by ec-LLS in the TEM videos. To obtain these data, the algorithm tracks the position of the liquid metal nanodroplets in solution since the nanodroplets have higher contrast to the background compared to the nanowire body. By considering and removing the overall drift, a trajectory of the nanodroplets can be plotted and used to compute the length and kinks of nanowires. I am developing a GUI interface so that it is accessible to everyone who wants to perform similar analyses without extensive knowledge of coding.

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Research Disciplines

Engineering

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