A versatile generalized digital twin for Electron Microscopy

Abstract

Novel experiments in transmission electron microscopy often require the development of specialized imaging and spectroscopy states, such as for flexible momentum-resolved high energy-resolution spectroscopy. This task is complicated by the need to align and configure many different lenses, and by ambiguity around the locations of various imaging and diffraction planes. Here we develop a versatile digital twin for simulating the electron beam trajectory throughout an electron microscope, and we develop the calibration procedures required for accurate prediction of microscope states. This allows the user to quickly and easily determine the correct lens values for setting up new condenser or projector modes. Automatic procedures to change lens settings and measure the resulting changes can be used to close the loop. With the accelerating development of machine learning and artificial intelligence tools, we also believe a physically-informed model of the microscope can serve as a valuable tool for automated microscopy and AI/ML integration.

COWFISH2A+ as a versatile and accessible platform for digital bioanalysis
Tatsuya Iida, Hajime Shinoda, Mami Yoshimura +11
Cell Reports Physical Science23 Oct 2026Peer-reviewedCC BYFull textGeneral physicsDOAJ
Electron microscopy on titanium implants for bone replacement after "sla" surface treatment
Egle Conforto, D Caillard, B-O Aronsson +1
European Cells and Materials16 Oct 2026Peer-reviewedPublisher termsFull textCondensed matterHAL
Integrated Mandibular Digital Twin: From Automated Modeling to Patient-Specific Implant Design
Lilian Baugnon, Georges Carpentier, Nicolas Bethune +2
Multidisciplinary Biomechanics Journal26 Oct 2026Peer-reviewedCC BY 4.0Full textGeneral physicsHAL
Single-step initialization of a 16-channel silicon nitride DWDM demultiplexer using a physics-informed digital twin
Zuyang Liu, Joyce K. S. Poon
Optics Express7 Oct 2026Peer-reviewedPublisher termsOptics & photonicsCrossref
Experimental Demonstration of Autonomous Class Aware Optimization via Digital Twin Aided Optical Network Agent
Marc Lawson, Ambashri Purkayastha, Camille Delezoide +3
arXiv5 Oct 2026PreprintarXiv licenceFull textOptics & photonicsarXiv

Cite

BibTeX RIS

BibTeX

@misc{pfeifer2026versatile,
  title = {{A versatile generalized digital twin for Electron Microscopy}},
  author = {Thomas W. Pfeifer and Andrew R. Lupini and Eric R. Hoglund},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2607.29411},
  eprint = {2607.29411},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.29411},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - A versatile generalized digital twin for Electron Microscopy
AU  - Thomas W. Pfeifer
AU  - Andrew R. Lupini
AU  - Eric R. Hoglund
PY  - 2026
DA  - 2026/09/22
PB  - arXiv
DO  - 10.48550/arxiv.2607.29411
UR  - https://arxiv.org/abs/2607.29411
AB  - Novel experiments in transmission electron microscopy often require the development of specialized imaging and spectroscopy states, such as for flexible momentum-resolved high energy-resolution spectroscopy. This task is complicated by the need to align and configure many different lenses, and by ambiguity around the locations of various imaging and diffraction planes. Here we develop a versatile digital twin for simulating the electron beam trajectory throughout an electron microscope, and we develop the calibration procedures required for accurate prediction of microscope states. This allows the user to quickly and easily determine the correct lens values for setting up new condenser or projector modes. Automatic procedures to change lens settings and measure the resulting changes can be used to close the loop. With the accelerating development of machine learning and artificial intelligence tools, we also believe a physically-informed model of the microscope can serve as a valuable tool for automated microscopy and AI/ML integration.
ER  -

Abstract

Related

Cite