Resonance-Like Impedance Measurement Technique for Life Science Applications
Bibliographic record
Abstract
In this paper, we propose a novel real-time method to convert standard impedance spectroscopy of an N-shape Negative Differential Resistance (NDR) system into resonance-like pseudo-impedance spectroscopy. This method relies on the creation of a singularity in the impedance spectra with the frequency where the real and imaginary parts of the impedance are equal to zero and pure capacitive, respectively. This resonance-like impedance spectrum allows us to monitor a unique frequency related to the electrochemical events at the interface between electrode and sample. The proposed method was validated using an NDR created by an indium tin oxide (ITO) microelectrode array exposed to mouse neuroblastoma cells with two different concentrations 1×104and 2×104cells/mL. Based on the results and discussions in this paper, resonance-like impedance spectroscopy offers advantages for the rapid detection and real-time monitoring of biological and/or chemical NDR systems.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".