3D Focused Ion Beam Microscopy of Fossilized <i>Albertosaurus sarcophagus</i> reveals Nano to Microscale Structures
Bibliographic record
Abstract
ABSTRACT Osteohistological investigations of fossilized bone can reveal details about the specimen’s biological, geological and environmental conditions. Micro-to-nanoscale imaging provides insight into the structural organization of bone and can also reveal indicators of the fossilization process. We examined a petrographic thin section of the left fibula of a ∼71.5 million-year-old Albertosaurus sarcophagus (Canadian Museum of Nature [CMN] catalogue number FV 11315) using nanoscale scanning electron microscopy (SEM) and focused ion beam (FIB)-SEM tomographic imaging to study the arrangement of mineral and organic components of fossil bone in multidimensions. Here, we present evidence of permineralization in Haversian canals by energy dispersive X-ray spectroscopy. Nanoscale 3D FIB-SEM imaging revealed that the characteristic 67 nm banding periodicity of collagen fibrils was remarkably well preserved over 70M years, and 3D imaging allowed for the detection of collagen fibril bundles in parallel fibered and lamellar bone arrangements. A newly discovered structure in modern bone, the ellipsoidal mineral cluster, was tiled throughout the 3D space of fibrolamellar fossil bone. These observations, afforded by the high-resolution and site-specific nature of FIB-SEM, link key fossilized features with the micro-nanoscale structure of modern-day bone. This investigation highlights the persistence of bone formation and organization persisting for over millions of years.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".