Enabling two-dimensional optical subdiffraction imaging at an extended working distance: a planar antenna-array approach
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Bibliographic record
Abstract
We propose a practical optical probe configuration capable of two-dimensional subdiffraction imaging beyond the conventionally used near-field range. The probe consists of a planar array of plasmonic monopoles radiating with different amplitudes and phases, such that the near-field interaction of the array elements produces a subdiffraction spot size 40% smaller than the diffraction limit at a quarter-wavelength away from the probe. Although designed to operate in the visible, this topology is scalable to other spectra as well. Our proposed configuration could alleviate the “working distance” issue between the object and imaging apparatus since it enables superresolution focusing at relatively long distances while being compatible with existing near-field imaging setups, such as scanning near-field optical microscopes.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it