Microfluidic Probe for Neural Organotypic Brain Tissue and Cell Perfusion
Bibliographic record
Abstract
This chapter presents how the microfluidic probe (MFP) was used to perform selective localized perfusion of organotypic brain slice cultures to demonstrate the potential applications of open microfluidics in this field. To adapt the MFP for brain slice cultures, it was necessary to design an open top perfusion chamber with microscopy compatibility and integrate this chamber with the MFP technology. The chapter discusses the design of this perfusion chamber, the design and assembly of the MFPs used for this work, and the application of the experimental setup for microperfusion of organotypic brain slices and neuronal cell cultures. It also presents an extension of MFP technology into the field of neuroscience, with an emphasis on microperfusion of hippocampal organotypic brain slice cultures and dissociated neuronal cell cultures. The chapter also discusses examples of how the microperfusion technique was applied to other biological samples, such as dissociated neural cell cultures.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".