In Vivo 2-Photon Imaging of Fine Structure in the Rodent Brain
Bibliographic record
Abstract
The recent application of 2-photon microscopy to biological specimens has allowed investigators to examine individual synapses within live animals. The gain in resolution over conventional in vivo imaging techniques has been several orders of magnitude. We outline steps for the preparation and maintenance of animals for 2-photon microscopy of fine brain structure. We discuss the in vivo resolution of the method and the ability to image blood flow and synaptic structure in vivo. Applications of in vivo 2-photon microscopy include the study of synapse turnover in adult animals under normal conditions and during pathology such as stroke. In the case of stroke, 2-photon imaging has revealed marked swelling of dendrites and loss of spines within minutes of ischemic onset. Surprisingly, restoration of blood flow during reperfusion was associated with a return of relatively normal structure. Over longer time scales, 2-photon imaging revealed elevated rates of synaptogenesis within peri-infarct tissues recovering from stroke. These results provide an example of how high-resolution in vivo microscopy can be used to provide insight into both the acute pathology and recovery from stroke damage.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".