Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation

Yuchen Xu; Andrew M. Thomas; Peter A. Crozier; David S. Matteson

doi:10.1109/TIP.2025.3543138

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Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation

Journal article

Peer reviewed

Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation

Yuchen Xu, Andrew M. Thomas, Peter A. Crozier and David S. Matteson

IEEE transactions on image processing, Vol.34, pp.1588-1601

2025

DOI: 10.1109/TIP.2025.3543138

PMID: 40031631

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Abstract

Ridge detection is a classical tool to extract curvilinear features in image processing. As such, it has great promise in applications to material science problems; specifically, for trend filtering relatively stable atom-shaped objects in image sequences, such as bright-field Transmission Electron Microscopy (TEM) videos. Standard analysis of TEM videos is limited to frame-by-frame object recognition. We instead harness temporal correlation across frames through simultaneous analysis of long image sequences, specified as a spatio-temporal image tensor. We define new ridge detection algorithms to non-parametrically estimate explicit trajectories of atomic-level object locations as a continuous function of time. Our approach is specially tailored to handle temporal analysis of objects that seemingly stochastically disappear and subsequently reappear throughout a sequence. We demonstrate that the proposed method is highly effective in simulation scenarios, and delivers notable performance improvements in TEM experiments compared to other material science benchmarks.

Microscopy

Atomic measurements

Atoms

Electrons

Feature extraction

functional data

Heuristic algorithms

image processing

nanoparticle

object recognition

ridge detection

Signal to noise ratio

Trajectory

Transmission electron microscopy

transmission electron microscopy (TEM)

Videos

Details

Title: Subtitle: Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation
Creators: Yuchen Xu - Cornell University
Andrew M. Thomas - Cornell University
Peter A. Crozier - Arizona State University
David S. Matteson - Cornell University
Resource Type: Journal article
Publication Details: IEEE transactions on image processing, Vol.34, pp.1588-1601
Publisher: IEEE; PISCATAWAY
DOI: 10.1109/TIP.2025.3543138
PMID: 40031631
ISSN: 1057-7149
eISSN: 1941-0042
Number of pages: 1
Grant note: 1940124,1940276 / Office of Advanced Cyberinfrastructure (10.13039/100000105) 2114143 / Division of Mathematical Sciences (10.13039/100000121) 1934985 / Division of Computing and Communication Foundations (10.13039/100000143)
Language: English
Date published: 2025
Academic Unit: Statistics and Actuarial Science
Record Identifier: 9984798225002771

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