Bibliographic record
Abstract
Optical devices are frequently being used in medical applications to image lesions and malignancies, and to assist with surgical procedures. The advances in micro-electro-mechanical systems (MEMSs) and optics led to the fabrication of flexible endoscopes as small as a few millimeters in diameter. The design of a sub-millimeter sized optical fiber scanner is presented in this paper. The proposed scanner consisted of a vibrating optical fiber that carried the laser light to the targeted imaging sample. The desired vibratory motion of the scanning device was obtained using a U-shaped electrothermal actuator where the asymmetry in the actuator’s arm length caused the free end of the actuating device to bend allowing a bidirectional motion at its free end. The periodic square current wave passing through the actuator caused it to bend in a timely manner. By matching the signal frequency to the resonant frequency of the cantilever fiber and placing the cantilever appropriately relative to the actuator, the distal end of the fiber was allowed to follow a Lissajous scan. In optical scanners, the Lissajous scan pattern is normally obtained using a pair of actuators. This paper presents the design of a scanner providing a 2D Lissajous scan using a single actuator. Such a technique can provide basis for the development of sub-millimeter sized forward-viewing endoscopic catheters, whereas the smallest single fiber endoscope has a diameter of 1.2 mm. In the medical field, such a device has the potential to image small cavities of the body increasing the diagnostic yield of the medical procedures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".