A Novel 3-Way Cell Sorter using Power Efficient Electrolysis-Based Actuator
Bibliographic record
Abstract
In this paper, a novel 3-way cell sorter using a power efficient electrolysis based actuator and X-flexture joint arm is presented. The small scale 3-way cell sorter is widely used in the field of bio-separation, namely immunology and haematology. Three 3-way cell sorters are also used in drug testing and analysis to sort cells in three different directions. The proposed design offers superior performance in small scale sorting applications than the other previous techniques like charged plates, T-switch, dielectrophoresis, and fluorescence activated cell sorting (FACS). A power efficient electrolysis-based actuator using water which works efficiently with 3 to 4 V is used for low power operation. Two X-flexture joint arms with individual actuators are designed and connected with X-flexture joint springs to regain the original position. The X-flexture joint also avoids direct contact of the arm to top and bottom surfaces of the channels to prevent mechanical failure. Simulation results using ANSYSreg FEM tool are presented along with the proposed design with a 50 mumtimes50 mum cross-section fluidic channel that can be customized as required. The total area occupied by the proposed design is 700 mumtimes700 mum. The simulation results show efficient operation of the proposed design with 18 mm/minflow rate
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".