MetaScope: Metasurface Based Multimodal Imaging System
Bibliographic record
Abstract
Abstract Conventional approaches struggle to image tiny biological subjects because their features are too small, and the contrasts are too weak. Metalenses are simple alternatives that can capture all the data from a complex field with one device. A broadband optical metalens is presented, capable of polarization‐tunable, bright‐field (BF), edge‐enhanced (EE), and wide field‐of‐view (WFOV) imaging systems. The metalens has a feature resolution of 3.91 µm and focuses differently depending on the polarization state. When illuminated with linearly polarized light, it forms focus spots around the metalens suitable for high‐resolution WFOV imaging. When light with left and right circular polarization states (LCP or RCP) is incident, the focus shifts farther away, resulting in lower‐resolution contrast‐enhanced captures. The compact setup, which includes just a metalens and two polarizers, can easily be added to existing microscopes. This work holds significant potential for tiny, high‐performance bioimaging and integrated photonic computing devices.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".