Integrated heating & sensing for PCB EWOD chips on a digital microfluidics cloud platform
Bibliographic record
Abstract
Digital microfluidics (DMF) based on electrowetting-on-dielectric (EWOD) is a versatile platform that offers automated and precise droplet handling. Despite advances, one of the critical components-an integrated thermal module-remains underdeveloped, limiting the accuracy and reliability of bioassays. This paper presents a new thermal management module compatible with printed circuit board (PCB)-based DMF devices co-fabricated through standard PCB manufacturing. It integrates a microheater and sensor pair interfaced with a closed-loop control system for individual droplet's temperature control. Numerical simulations were performed to understand heat transfer from the embedded microheaters to the droplets for optimized microheater design. Experiments were performed to evaluate key performance metrics of the module, including temperature accuracy, control stability, response time, crosstalk, and heat localization. Finally, a glucose assay was conducted on-chip to demonstrate the module's applicability. The co-fabricatable heating-sensing module design presented in this paper offers seamless integration of thermal management for PCB-based DMF chips at little additional manufacturing cost while supporting the cloud-based platform established to democratize DMF.
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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".