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Record W1487887844 · doi:10.1002/elps.201200618

The new horizon in 2D electrophoresis: New technology to increase resolution and sensitivity

2013· article· en· W1487887844 on OpenAlexaff
M. Moche, Dirk Albrecht, Sandra Maaß, Michael Hecker, Reiner Westermeier, Knut Büttner

Bibliographic record

VenueElectrophoresis · 2013
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsAdvanced Electrophoresis Solutions (Canada)
Fundersnot available
KeywordsSensitivity (control systems)Resolution (logic)ElectrophoresisChromatographyChemistryAnalytical Chemistry (journal)Materials scienceComputer scienceArtificial intelligenceEngineeringElectronic engineering

Abstract

fetched live from OpenAlex

A principally new type of an electrophoresis setup for the second dimension of 2DE named HPE (high performance electrophoresis) has recently become available that provides excellent reproducibility much superior to traditional 2DE. It takes up ideas from early beginnings of 2DE which could not be satisfactory realized at that time. The new HPE system is in contrast to all other established systems a horizontal electrophoresis that employs a new type of precast polyacrylamide gels on film-backing and runs on a multilevel flatbed electrophoresis apparatus. In a systematic approach we compared its features to traditional 2DE for the cytosolic proteome of Bacillus subtilis. Not only the reproducibility is enhanced, but also nearly all qualitative parameters as resolution, sensitivity, the number of protein spots (25% more), and the number of different proteins (also additional 25%) are markedly increased. More than 200 proteins were exclusively found in HPE. This new electrophoresis system does not use buffer tanks. No glass plates are needed. Therefore handling of gels is greatly facilitated and very simple to use even for personnel with low technical skills. The new HPE system is technically at the beginnings and further development with increased performance can be expected.

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 score0.115
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
Bibliometrics0.0000.002
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 head0.189
Teacher spread0.186 · 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

Citations30
Published2013
Admission routes1
Has abstractyes

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