DEP based cell separation utilizing planar microelectrode array
Bibliographic record
Abstract
We describe the utility of the dielectrophoresis (DEP) effect, employing planar microelectrode arrays fabricated on a glass substrate to synthesize a specially shaped nonuniform field, to fractionate cells into purer subpopulations. The arrangement of planar microelectrodes is similar to those employed by others, however, in our case the a.c. voltage applied to each electrode is individually tailored so as to improve both the efficiency of cell sorting and sample throughput. Furthermore, since DEP may impel particles into region of field intensity maximum (i.e. positive DEP) or minimum (i.e. negative DEP) over different regions of the applied field frequency spectrum this biasing planar electrode biasing scheme allows us to exploit both positive and negative DEP effects to affect cell separation. Results obtained on plant protoplast cells, using this new DEP cell fractioning scheme, confirm our theoretical predictions and furthermore demonstrates the improvements in separation efficiency and throughput over a wide range of applied field frequencies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".