Cell out-of-plane rotation control using a cell surgery robotic system equipped with optical tweezers manipulators
Bibliographic record
Abstract
Single cell surgery has been gaining increasing attention due to its extensive applications in physiological and pathological of cell research. Orientation control of biological cell is a basic and vital technique required in cell surgery procedures. By adjusting the orientation of the cell appropriately, the components and sites of interest can be captured by a microscope, such that further analysis, diagnosis, extraction and treatment can be performed. Cell rotation reduces the potential unwanted damage to components of cell during cell surgery. Currently, orientation control of biological cells is typically carried out with manual operations. With ongoing trend towards automated manipulation, a framework that can automate the multi-axis rotation of suspended biological cells is urgently needed. In this paper, we utilize two optical traps, generated by robotically controlled holographic optical tweezers (HOT), as two special manipulators to manipulate the cell for out of image plane rotation. By utilizing the T-matrix approach and experimental calibration, the relationship between the relative vertical height of the optical traps and the rotational angle is characterized. A visual feedback controller is further developed to rotate the cell to the pre-determined orientation accurately. Experiments are performed to demonstrate the effectiveness of the proposed approach.
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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".