Low Cost Graphene Electrodes for Performing Digital Microfluidic Operations on a Hand Held Portable Platform
Bibliographic record
Abstract
This work presents a new fabrication method for the electrodes of digital microfluidic (DMF) systems in which the electrodes are fabricated from laser scribed graphene on PET substrates. The new fabrication method helps in rapid design and prototyping of the DMF electrodes easily without a need for highly equipped facilities. The electrodes are fabricated on flexible substrates. Hence, the prospered method improves both the versatility of the DMF chips as we can form them to any desirable shape. The laser scribed graphene chips are then inserted to a battery-powered handheld DMF device to perform different applications such as point of care testing (POCT). The portable device is controlled using a smartphone via a Bluetooth connection. The DMF droplets are magnified using a micro lens installed on top of the smartphone camera to monitor and record DMF processes.
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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".