Characterization of the BAC Id3-enhanced green fluorescent protein transgenic mouse line for<i>in vivo</i>imaging of astrocytes
Bibliographic record
Abstract
Astrocytes are highly ramified glial cells with critical roles in brain physiology and pathology. Recently, breakthroughs in imaging technology have expanded our understanding of astrocyte function in vivo. The in vivo study of astrocytic dynamics, however, is limited by the tools available to label astrocytes and their processes. Here, we characterize the bacterial artificial chromosome transgenic Id3-EGFP knock-in mouse to establish its usefulness for in vivo imaging of astrocyte processes. Using fixed brain sections, we observed enhanced green fluorescent protein expression in astrocytes and blood vessel walls throughout the brain, although the extent and cell type specificity of expression depended on the brain area and developmental age. Using in vivo two-photon imaging, we visualized astrocytes in cortical layers 1-3 in both thin skull and window preparations. In adult animals, astrocytic cell bodies and fine processes could be followed over many hours. Our results suggest that Id3 mice could be used for in vivo imaging of astrocytes and blood vessels in development and adulthood.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".