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Record W7131974707

Hole free phase plate imaging in a TEM

2016· other· en· W7131974707 on OpenAlexvenueno aff
Marek Malac

Bibliographic record

VenueNPARC · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhase (matter)DiffractionZone plateContrast transfer functionBeam (structure)Transmission electron microscopyPhase contrast microscopyPhase-contrast imagingPhotographic plateMicroscope
DOInot available

Abstract

fetched live from OpenAlex

Zernike-like phase plate contrast can be obtained in a transmission electron microscope by introducing a phase shift between direct and diffracted beams in the back focal plane of objective lens. A particularly convenient implemenation utilizes a uniform thin film with its contrast transfer properties determined by local modifications of the film by the primary electron beam. The need for accurate positioning of the device in back focal plane is eliminated because the phase shifting patch size and position is determined by the primary beam size and position. Such hole free phase plate can increase image contrast by a factor of two to four. While hole free phase plate contrast can not be quantitatively interpreted at present, it can be used to image for example magnetic field inside sample and fringing field in vacuum near sample. It can be also applied to imaging of biological materials. The origin of the hole free phase plate phase shift is not fully understood. In this prentation, example applications and recent development of the contrast origin will be discussed.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.013
GPT teacher head0.288
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2016
Admission routes1
Has abstractyes

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