Planar Cell Orientation Control System Using a Rotating Electric Field
Bibliographic record
Abstract
In this paper, an automated cell orientation control system is proposed to reorient suspended cells in the plane, about a single axis of rotation. The system consists of a vision system, which images the suspended cell, a software system which estimates the cell orientation angle, and a rotating electric field, applied to rotate the suspended cell. The angular coordinate of the cell is used as a feedback in a closed-loop system to reorient the cell, rotating it to its desired angle. The closed-loop feedback system permits the suspended cell orientation to track reference input signals. A microscale device, energized with sinusoidal voltages, is used to generate a rotating electric field. This device was designed and fabricated using MEMS fabrication techniques. A vision-tracking algorithm to image and estimate cell orientation in real time was designed and implemented, based on the circular Hough transform. The cell is driven to its desired orientation angle with a PID controller using the estimated cell rotation angle as a feedback. Experiments have been carried out which demonstrate that the cell orientation control system performs well. A variety of tests have been performed, including step response and trajectory following. Cell orientation control may be used as one step in the general process of orienting cells for cell surgery.
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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 | 0.000 | 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".