Fabrication of Microelectrodes, Suction Electrodes, and Focal Electrodes for Electrophysiological Recording in<i>Drosophila</i>
Bibliographic record
Abstract
Electrophysiological recording is a group of techniques used to record electrical field potentials generated by cells. These techniques rely on several types of electrodes, which can be manufactured in the laboratory. In intracellular recording, glass microelectrodes are used to pierce the cell membrane, and then to measure the electrical potential difference between the inside and the outside of the cell. Another technique, called loose patch or focal recording, is similar to intracellular recording but the electrode tip does not pierce into the cell membrane. Rather, the electrode tip is placed near a nerve or the postsynaptic side of the neuromuscular junction (NMJ) to record extracellular changes in local potentials. A third technique involves a suction electrode, which is used to draw part of the motor nerve into the electrode so that electrical pulses can be applied to elicit action potentials of the nerve. Suction electrodes are specifically used to evoke synaptic potentials at the Drosophila larval NMJ. This protocol details some basic methods for manufacturing microelectrodes used for intracellular recording and two-electrode voltage-clamp and loose patch electrodes used for focal recording. In addition, a method is provided for manufacturing homemade suction electrodes used for nerve stimulation.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".