Multiple-input single-output Fourier filtering systems using bacteriorhodopsin material
Bibliographic record
Abstract
We describe a new method for use with multiple-input single-output (MISO) Fourier filtering systems based on a holographic optical system. The spatial filter is located in the reference beam and the object beam contains the input image followed by a Fourier transform lens. A bacteriorhodopsin film is used to record the hologram resulting from the interfering waves. When reconstructed with the reference wave, the hologram will produce a diffraction pattern which becomes the output of the filtering system after passing through another Fourier transform lens. Discrete spatial filters can be placed in a set of different reference beams that share the same output path to form the MISO Fourier filtering system. The filters can be changed simply by switching from one reference beam to another. It is remarked that the high-resolution holographic spatial filters are more versatile than the conventionally used spatial light modulator for such applications.
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How this classification was reachedexpand
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".