Development of electro-conductive silver phosphate-based glass optrodes for in vivo optogenetics
Bibliographic record
Abstract
Multifunctional fibers are developed worldwide for enabling many new advanced applications. Among the multiple new functionalities that such fibers can offer according to their design, chemical composition and materials combination, the co-transmission of light and electrical signals is of first interest for sensing applications, in particular for optogenetics and electrophysiology. Multifunctional fibers offer an all-solid approach relying on new ionic conducting glasses for the design and manufacturing of next generation optrodes, which represents a tremendous upgrade compared to conventional techniques that requires the utilization of liquid electrolytes to carry the electrical signal generated by genetically encoded neuronal gated ion channels after optical excitation. After a systematic study conducted on different ion-conductive glass systems, silver phosphate-based glasses belonging to the AgI-AgPO<sub>3</sub>-WO<sub>3</sub> and AgI−AgPO<sub>3</sub>−Ag<sub>2</sub>WO<sub>4</sub> systems were found to be very promising materials for the target application. Several types of fibers, including single-core step-index fibers, multimaterial fibers made of inorganic and optical polymeric glasses have been then fabricated and characterized. Light transmission ranging from 400 to 1000 nm and electrical conductivity ranging from 10<sup>−3</sup> and 10<sup>−1</sup> S·cm−1 at room temperature (AC frequencies from 1 Hz to 1 MHz) were demonstrated with these fibers. Very sharp fiber tapers were then produced with high repeatability by using a CO<sub>2</sub> laser optical setup, allowing a significant shrinking from the fiber (300 μm diameter) to the taper tip (25-30 μm diameter).
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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".