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Record W4400999745 · doi:10.1093/mam/ozae044.934

Soft Electrostatic RAFA Lens’s Electron Beam Imaging and Diagnosis of Individual Atoms In 3D Specimen – A Proposal

2024· article· en· W4400999745 on OpenAlexaff
Rodney Herring

Bibliographic record

VenueMicroscopy and Microanalysis · 2024
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLens (geology)Electrostatic lensMaterials scienceCathode rayOpticsElectronBeam (structure)Atomic physicsPhysicsNuclear physics

Abstract

fetched live from OpenAlex

The ultimate goal of quantitative high resolution electron microscopy is to determine the type of atom at a specific site regardless if it’s a three dimensional amorphous or crystalline material. The proposal herein describes an imaging and diagnostic method that may be able to achieve this capability. Current imaging systems have excellent lateral resolution but lack resolution along the pathlength of the beam due to the lack of an angle to focus the beam plaguing current refractive, deflective and reflective lenses. Apertured blocked beams have the problem of removing most of the beam’s intensity. The reflective advanced focusing aperture (RAFA) lens corrects these problems while maintaining ∼100% of the beam intensity currently being demonstrated using acoustic and laser beams easily implemented since they reflect off a solid surface independent of the beam’s wavelength obeying Snell’s Law so a laser beam focuses to the same far probe position as the acoustic beam enabling new medical treatment modalities [1]. Electron and ion beams are more challenging as their reflective surface requires an electrostatic potential (Fig. 1), which is highly sensitive to fringing fields within the lens’s environment. The proposed application of the electrostatic RAFA lens avoids fringing fields by replacing the reflective surface of Rose’s imaging system placed outside of the electron microscope’s column (Fig. 2) using a magnetic prism deflecting the electron beam towards the reflective electrostatic RAFA lens, which focuses the beam back into the electron microscope’s column [2]. The focused probe intensity within the specimen when apertured enables collection of elastically and inelastically scattered electrons for imaging by a camera and being diagnosed by EELS with no contributions from above or the sides of the probe position (Fig. 3) If collection of the intensity is performed in the Fraunhofer plane, scanning of the beam through the specimen can occur without the aperture having to move. Simultaneous quantitative imaging is accomplished by first collecting intensity from the bottom surface of the specimen and then moving progressively upwards into the specimen. Spherical aberration is compensated by the design of the reflective surface of the RAFA lens and focusing the electron probe/virtual source on the optic axis and chromatic aberration is compensated by using a soft electrostatic surface that varies its potential depending on the acceleration voltage noise and perhaps even the thermal magnetic field noise, both to be presented. A singularity exists at the center of the RAFA lens that shouldn’t be a problem. RAFA lens and mirror are made small (∼10 microns) and thin (∼10 microns) using Focused Ion Beam (FIB) having an aperture hole size of ∼100s microns. Dimensions are flexible. Electrostatic repulsive force of surfaces is same as electron beam’s acceleration voltage. Electron beam deflection from column using a prism lens towards the RAFA lens where it is focused back for re-insertion into the column. Diffuse elastic and inelastically scattered electrons from focused probe/virtual source positions are used to form 3D STEM image and identify elemental compositions and other properties using EELS. In diffraction mode, Fraunhofer imaging, the aperture does not need to move when 3D rastering the beam through the specimen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.270
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractno

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