Development of a Dual-Wavelength Isosbestic Wireless Fiber Photometry Platform for Live Animals Studies
Bibliographic record
Abstract
Measuring neural activity from well-defined neural populations deep inside the brain has an important value in neuroscience. Fiber photometry is an important technique for evaluating neuron activity inside the brain. Besides, miniature wireless systems to record neuronal activity in a fully untethered experimental setting have recently become extremely interesting for experimenters. Still, a noise-robust wireless fiber photometry system for this purpose does not exist. Using an isosbestic excitation wavelength for recording with GCaMP6 has recently been suggested to reduce the different types of noises. We present the design of a wireless fiber photometry system at 470 nm for calcium-dependent fluorescence emission of GCaMP6 using a calcium-independent isosbestic excitation wavelength of 410 nm. Synthetic emission fluorescence light was played from a function generator to drive an LED at 530 nm at test the photometry platform. The setup has been fixed at 4.18 mW light power after linearity assessment while the analog circuit has THD of 0.35%. Then, the recorded synthetic neuronal activity was transmitted wirelessly to the base station. Finally, the isosbestic response has been aligned and removed from the calcium-dependent fluorescence signal to have a noiseless neuronal activity.
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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 | 0.001 |
| 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".