Investigating the effect of plasma activation's hydrophobic recovery on cell adhesion and viability
Bibliographic record
Abstract
Since 1949, JEOL's legacy has been one of the most remarkable innovations in the development of instruments used to advance scientific research and technology.JEOL has 60 years of expertise in the field of electron microscopy, more than 50 years in mass spectrometry and NMR spectrometry, and more than 40 years of e-beam lithography leadership.This presentation is focused on the new JEOL developments of transmission electron microscopes and techniques.The JEM-2100Plus is a multi purpose transmission electron microscope, which combines the proven JEM-2100 optic system with an advanced control system for enhanced ease of operation.Achieving superior performance through intuitive operation, the JEM-2100Plus provides solutions to a wide range of applications from materials science to medical/biological studies.For materials sciences and chemistry researches, JEOL proposes the NEOARM (a) with Cold FEG and the new ASCOR Cs corrector represents a radical departure from electron optical technology, achieving unprecedented imaging resolution of 70 picometers with an energy resolution of 0.27eV.ASCOR corrector has been designed to improve the unique performances from 30 to 200kV.The higher brightness and narrower energy spread enabled by the Cold FEG are optimized by the ultra-stable emission, greatly enhancing atom-atom imaging and chemical analysis on a wide high tension range.The Electrostatic Dose Modulator (EDM) is a fast beam blanking system with a presample electrostatic deflector, including electronics and software control.With EDM, the beam can switch on or off in less than 50 ns.This 100,000x improvement in blanking speed immediately improves the clarity of data taken at fast exposure times.EDM can also attenuate electron illumination without affecting imaging conditions, giving TEM and STEM users exceptional control over the dose on their samples.Cutting-edge electronics and software add-ons unlock advanced applications such as temporal dose structuring and STEM synchronization.a) 2100Plus b) NEOARM
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".