Magnetic resonance imaging of in vitro glioma cell invasion
Bibliographic record
Abstract
OBJECT: An understanding of single glioma cell invasion has been limited by the static picture provided by histological studies. The ability to nondestructively assess cell invasion dynamically in a full 3D volume would improve the quality and quantity of information available from both in vivo and in vitro experiments. The purpose of this study was to observe glioma cell invasion in a 3D in vitro model using a microimaging protocol at 1.5 tesla and to assess the uptake of micron-sized particles of iron oxide (MPIO) and the consequent effects on cell function. METHODS: Rat C6 glioma cells were labeled with MPIO to a sufficient extent to allow single cell detection in vitro without significant effects on cell proliferation or plating efficiency. When placed on agar-coated plates, the cells formed stable multicellular tumor spheroids (MCTSs), which were embedded in collagen type I gel and serially visualized using magnetic resonance (MR) imaging and phase-contrast microscopy over 8 days. The MCTSs initially appeared as large susceptibility artifacts on MR images, but within 2 days, as cells moved away from the main MCTS, small discrete areas of signal loss, possibly due to single cells, could be observed and tracked. CONCLUSIONS: Glioma cell invasion can be nondestructively observed using MR imaging. The sensitivity of MR imaging, along with its ability to represent full 3D volumes noninvasively over time, makes it ideal for longitudinal in vivo cell tracking studies.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".