A cell preparation system for realising automatic zebra fish cell injection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research in genetics, cancer treatment and drug therapy requires that large numbers of cells be injected with drugs or DNA to investigate cell behaviour. Traditionally, this task has been performed manually. The cell preparation stage, which includes cell separation, cell transfer, cell patterning and cell release is very time consuming. In order to increase the throughput of the cell injection process, a system that can replicate the actions of technicians is required. To prepare the cells for injection, cells must be separated and patterned without damage. This paper presents a new design to solve this problem. A cell preparation system has been designed, utilising FLOW 3D simulations, to separate and pattern cells for injection. Flow simulations of suspended cells and corresponding experiments have demonstrated that the proposed system is capable of successfully carrying out cell separation, cell patterning and cell transfer, enhancing the speed and throughput of this important laboratory technique.
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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 | 0.001 | 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 | 0.000 | 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 it