Towards automatic alignment of a crystalline sample in an electron microscope along a zone axis

Despite persistent and extensive observations of crystals with chiral shapes, the mechanisms underlying their formation are not well understood. Although past studies suggest that chiral shapes can form because of crystallization in the presence of chiral additives, or because of an intrinsic tendency that stems from the crystal structure, there are many cases in which these explanations are not suitable or have not been tested. Here, an investigation of model tellurium nanocrystals provides insights into the chain of chirality transfer between crystal structure and shape. We show that this transfer is mediated by screw dislocations, and shape chirality is not an outcome of the chiral crystal structure or ligands.

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“…References (27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)…”

Section: Supplementary Materialsunclassified

The chain of chirality transfer in tellurium nanocrystals

Ben-Moshe

Silva

Müller

et al. 2021

Science

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“…This method worked well as an automatic pre-alignment prior to a precise zone axis alignment. Jansen et al 68 further improved the alignment procedure to achieve a high degree of precision up to 0.05-0.021 by recording a series of diffraction patterns. The dedicated open-source software ALPHABETA offers a simple user interface that allows users to calibrate the orientation of the specimen and then compute the tilt angles.…”

Section: Innovations In Imaging Procedures and Acquisitionmentioning

confidence: 99%

Atomic-level imaging of beam-sensitive COFs and MOFs by low-dose electron microscopy

Zhan,

Liu,

Wang

et al. 2024

Nanoscale Horiz.

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Smart Automation: Machine Learning Enabled Workflow for Logic and DRAM

et al. 2021

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Current S/TEM automation requires highly trained microscopists to build specialized acquisition and analysis recipes for specific semiconductor structures. Recipes can be challenging to write and take a long time, therefore the industry continues to rely on manual operation to overcome TEM analysis demands. Time to develop robust automation is often too slow for the product change rate of industry development cycle. To overcome this barrier, Smart Automation was developed on a Thermo Scientific Metrios TM AX 200kV S/TEM as an application providing a generalized acquisition workflow that is ready to use without requiring specialist intervention. The application interacts with a Fully Convolutional Neural Network (FCN) through a user-friendly interface for navigation and auto alignments. The FCN is the key enabler for lowering the bar to automation set up with a time to robust automation within hours instead of days.

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Towards automatic alignment of a crystalline sample in an electron microscope along a zone axis

Cited by 5 publications

References 5 publications

The chain of chirality transfer in tellurium nanocrystals

The chain of chirality transfer in tellurium nanocrystals

Atomic-level imaging of beam-sensitive COFs and MOFs by low-dose electron microscopy

Smart Automation: Machine Learning Enabled Workflow for Logic and DRAM

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