Automated real-time 3D visual servoing control of single cell surgery with application to microinjection processes
Bibliographic record
Abstract
Automating the cell surgery processes is a potential solution to eliminate human involvement and promote the development of cell surgery. Here, we propose a real-time 3D visual servocontrol system for single cell surgery with the experimental results of single cell injection of an embryo and analysis of experimental data. Real time 3D image processes are a necessary requirement since during cell surgery, when a micropipette contacts the embryo, the embryo is deformed, repositioning the internal components of the cell to be injected. An innovative 3D edge extraction algorithm is demonstrated for the real time 3D image processes. Visual servocontrol of the cell surgery process acquires the real-time target cell blastomere 3 dimensional position is used to maneuver the micropipette under real-time closed-loop feedback control. The automated embryo microinjection process is conducted using the proposed real-time 3D visual servocontrol system, which is proven to be a potential solution for microinjection automation.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".