Compact, Field-Portable Lens-free Microscope using Superresolution Spatio-Spectral Light-field Fusion
Bibliographic record
Abstract
We present a compact, field-portable lens-free microscope basedon the principle of spatio-spectral light-field fusion. This is the firsttime a device of this kind has been introduced whereby both superresolutionand signal-to-noise ratio are enhanced via the marriageof synthetic aperture imaging and spectral light-field fusionholography, culminating in a system that is self-contained and fieldportablewhile achieving high resolution, contrast, strong signal fidelity,and ultra-wide field-of-view. The active spatio-spectral illuminationis accomplished in the presented microscope by arranginga series of pulsing LEDs emitting at different spectral wavelengthsin a specific spatial formation. To demonstrate the performance ofthe presented microscope, the system was used to observe twohistology samples: a bovine lung, and corn stem. The imaging resultsdemonstrate the ultra-wide field-of-view advantage of the presentedmicroscope over any other system of its kind, thus enablingfor acquisition of the entire sample without the need for scanning,while producing high-resolution, high-contrast microscopy images(168 megapixels in the current system) that makes it well-suited forscientific and clinical examinations.
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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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".