Protein-based optical transducer for mechatronic devices
Bibliographic record
Abstract
An optical transducer based on the light modulated transmission properties of bacteriorhodopsin (bR) film is described in this paper. The bR protein molecules undergo a complex photocycle when absorbing light energy that is characterized by several measurable states. The most relevant states in the photocycle for this application are the initial B state (λmax= 570 nm) and the longest lived M intermediate state (λmax= 410 nm). If a yellow light source with a wavelength of approximately 570 nm and a second deep blue source at 410 nm illuminate the same region of the thin bR film, the two beams will mutually suppress the optical transmission properties of the thin film and reduce the intensity of the light output. The suppression-modulated transmission mechanism of the bR polymeric film is, therefore, controlled by the intensity and wavelength of the two light sources. Based on this simple mechanism, a number of different protein-based optical devices have been proposed in the literature for optical signal and information processing. The focus of this research is to exploit the light transmission properties of the bR film to develop efficient optical transducers that can be easily interfaced with micro-electro-mechanical systems for mechatronic applications. The proposed transducer design is activated by an external light source and free from electrical noise. Illustrations of how thin bR film can be used for the modulation of light intensity, optical switches, and logic gates are presented.
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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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".