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Record W3040662389 · doi:10.1017/s1431927600034115

Localization of Green Fluorescent Protein Absorbance by Energy Filtered Transmission Electron Microscopy

2000· article· en· W3040662389 on OpenAlexaff
Jason A. Davis, Robert Garces, Jun Diao, F.P. Ottensmeyer

Bibliographic record

VenueMicroscopy and Microanalysis · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrismResolution (logic)ChromophoreSpectrometerOpticsAbsorbanceElectronMaterials scienceMicroscopyFluorescenceHigh-resolution transmission electron microscopyTransmission electron microscopyAnalytical Chemistry (journal)ChemistryPhysicsPhotochemistry

Abstract

fetched live from OpenAlex

Abstract Energy filtered transmission electron microscopy has the potential to provide high resolution, spatially resolved, atomic and chemical information. However, aberrations generated by the electron spectrometer blur the energy resolution and limit the atomic or molecular distributions that can be studied. Energy absorptions corresponding to the visible light range fall below an energy loss of 5 eV. The selection of electrons that have lost an amount of energy corresponding to chromophore absorption by the sample thus requires a spectrometer with a high energy resolution over the full image plane. A corrected prism-mirror-prism filter that has a resolution of 1.1 eV, sufficient to select these low energy loss electrons, was developed and installed by us in a Zeiss EM902. Its imaging capability was verified for a number of different chromophores. The chromophore currently under study is that of the green fluorescent protein (GFP).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.003
GPT teacher head0.265
Teacher spread0.262 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2000
Admission routes1
Has abstractyes

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